| // Copyright 2019 The libgav1 Authors |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| #include "src/dsp/film_grain.h" |
| #include "src/utils/cpu.h" |
| |
| #if LIBGAV1_ENABLE_NEON |
| #include <arm_neon.h> |
| |
| #include <algorithm> |
| #include <cassert> |
| #include <cstddef> |
| #include <cstdint> |
| #include <cstring> |
| #include <new> |
| |
| #include "src/dsp/arm/common_neon.h" |
| #include "src/dsp/arm/film_grain_neon.h" |
| #include "src/dsp/common.h" |
| #include "src/dsp/constants.h" |
| #include "src/dsp/dsp.h" |
| #include "src/dsp/film_grain_common.h" |
| #include "src/utils/common.h" |
| #include "src/utils/compiler_attributes.h" |
| #include "src/utils/logging.h" |
| |
| namespace libgav1 { |
| namespace dsp { |
| namespace film_grain { |
| namespace { |
| |
| // These functions are overloaded for both possible sizes in order to simplify |
| // loading and storing to and from intermediate value types from within a |
| // template function. |
| inline int16x8_t GetSignedSource8(const int8_t* src) { |
| return vmovl_s8(vld1_s8(src)); |
| } |
| |
| inline int16x8_t GetSignedSource8(const uint8_t* src) { |
| return ZeroExtend(vld1_u8(src)); |
| } |
| |
| inline void StoreUnsigned8(uint8_t* dest, const uint16x8_t data) { |
| vst1_u8(dest, vmovn_u16(data)); |
| } |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| inline int16x8_t GetSignedSource8(const int16_t* src) { return vld1q_s16(src); } |
| |
| inline int16x8_t GetSignedSource8(const uint16_t* src) { |
| return vreinterpretq_s16_u16(vld1q_u16(src)); |
| } |
| |
| inline void StoreUnsigned8(uint16_t* dest, const uint16x8_t data) { |
| vst1q_u16(dest, data); |
| } |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| // Each element in |sum| represents one destination value's running |
| // autoregression formula. The fixed source values in |grain_lo| and |grain_hi| |
| // allow for a sliding window in successive calls to this function. |
| template <int position_offset> |
| inline int32x4x2_t AccumulateWeightedGrain(const int16x8_t grain_lo, |
| const int16x8_t grain_hi, |
| int16_t coeff, int32x4x2_t sum) { |
| const int16x8_t grain = vextq_s16(grain_lo, grain_hi, position_offset); |
| sum.val[0] = vmlal_n_s16(sum.val[0], vget_low_s16(grain), coeff); |
| sum.val[1] = vmlal_n_s16(sum.val[1], vget_high_s16(grain), coeff); |
| return sum; |
| } |
| |
| // Because the autoregressive filter requires the output of each pixel to |
| // compute pixels that come after in the row, we have to finish the calculations |
| // one at a time. |
| template <int bitdepth, int auto_regression_coeff_lag, int lane> |
| inline void WriteFinalAutoRegression(int8_t* grain_cursor, int32x4x2_t sum, |
| const int8_t* coeffs, int pos, int shift) { |
| int32_t result = vgetq_lane_s32(sum.val[lane >> 2], lane & 3); |
| |
| for (int delta_col = -auto_regression_coeff_lag; delta_col < 0; ++delta_col) { |
| result += grain_cursor[lane + delta_col] * coeffs[pos]; |
| ++pos; |
| } |
| grain_cursor[lane] = |
| Clip3(grain_cursor[lane] + RightShiftWithRounding(result, shift), |
| GetGrainMin<bitdepth>(), GetGrainMax<bitdepth>()); |
| } |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| template <int bitdepth, int auto_regression_coeff_lag, int lane> |
| inline void WriteFinalAutoRegression(int16_t* grain_cursor, int32x4x2_t sum, |
| const int8_t* coeffs, int pos, int shift) { |
| int32_t result = vgetq_lane_s32(sum.val[lane >> 2], lane & 3); |
| |
| for (int delta_col = -auto_regression_coeff_lag; delta_col < 0; ++delta_col) { |
| result += grain_cursor[lane + delta_col] * coeffs[pos]; |
| ++pos; |
| } |
| grain_cursor[lane] = |
| Clip3(grain_cursor[lane] + RightShiftWithRounding(result, shift), |
| GetGrainMin<bitdepth>(), GetGrainMax<bitdepth>()); |
| } |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| // Because the autoregressive filter requires the output of each pixel to |
| // compute pixels that come after in the row, we have to finish the calculations |
| // one at a time. |
| template <int bitdepth, int auto_regression_coeff_lag, int lane> |
| inline void WriteFinalAutoRegressionChroma(int8_t* u_grain_cursor, |
| int8_t* v_grain_cursor, |
| int32x4x2_t sum_u, int32x4x2_t sum_v, |
| const int8_t* coeffs_u, |
| const int8_t* coeffs_v, int pos, |
| int shift) { |
| WriteFinalAutoRegression<bitdepth, auto_regression_coeff_lag, lane>( |
| u_grain_cursor, sum_u, coeffs_u, pos, shift); |
| WriteFinalAutoRegression<bitdepth, auto_regression_coeff_lag, lane>( |
| v_grain_cursor, sum_v, coeffs_v, pos, shift); |
| } |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| template <int bitdepth, int auto_regression_coeff_lag, int lane> |
| inline void WriteFinalAutoRegressionChroma(int16_t* u_grain_cursor, |
| int16_t* v_grain_cursor, |
| int32x4x2_t sum_u, int32x4x2_t sum_v, |
| const int8_t* coeffs_u, |
| const int8_t* coeffs_v, int pos, |
| int shift) { |
| WriteFinalAutoRegression<bitdepth, auto_regression_coeff_lag, lane>( |
| u_grain_cursor, sum_u, coeffs_u, pos, shift); |
| WriteFinalAutoRegression<bitdepth, auto_regression_coeff_lag, lane>( |
| v_grain_cursor, sum_v, coeffs_v, pos, shift); |
| } |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| inline void SetZero(int32x4x2_t* v) { |
| v->val[0] = vdupq_n_s32(0); |
| v->val[1] = vdupq_n_s32(0); |
| } |
| |
| // Computes subsampled luma for use with chroma, by averaging in the x direction |
| // or y direction when applicable. |
| int16x8_t GetSubsampledLuma(const int8_t* const luma, int subsampling_x, |
| int subsampling_y, ptrdiff_t stride) { |
| if (subsampling_y != 0) { |
| assert(subsampling_x != 0); |
| const int8x16_t src0 = vld1q_s8(luma); |
| const int8x16_t src1 = vld1q_s8(luma + stride); |
| const int16x8_t ret0 = vcombine_s16(vpaddl_s8(vget_low_s8(src0)), |
| vpaddl_s8(vget_high_s8(src0))); |
| const int16x8_t ret1 = vcombine_s16(vpaddl_s8(vget_low_s8(src1)), |
| vpaddl_s8(vget_high_s8(src1))); |
| return vrshrq_n_s16(vaddq_s16(ret0, ret1), 2); |
| } |
| if (subsampling_x != 0) { |
| const int8x16_t src = vld1q_s8(luma); |
| return vrshrq_n_s16( |
| vcombine_s16(vpaddl_s8(vget_low_s8(src)), vpaddl_s8(vget_high_s8(src))), |
| 1); |
| } |
| return vmovl_s8(vld1_s8(luma)); |
| } |
| |
| // For BlendNoiseWithImageChromaWithCfl, only |subsampling_x| is needed. |
| inline uint16x8_t GetAverageLuma(const uint8_t* const luma, int subsampling_x) { |
| if (subsampling_x != 0) { |
| const uint8x16_t src = vld1q_u8(luma); |
| return vrshrq_n_u16(vpaddlq_u8(src), 1); |
| } |
| return vmovl_u8(vld1_u8(luma)); |
| } |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| // Computes subsampled luma for use with chroma, by averaging in the x direction |
| // or y direction when applicable. |
| int16x8_t GetSubsampledLuma(const int16_t* const luma, int subsampling_x, |
| int subsampling_y, ptrdiff_t stride) { |
| if (subsampling_y != 0) { |
| assert(subsampling_x != 0); |
| int16x8_t src0_lo = vld1q_s16(luma); |
| int16x8_t src0_hi = vld1q_s16(luma + 8); |
| const int16x8_t src1_lo = vld1q_s16(luma + stride); |
| const int16x8_t src1_hi = vld1q_s16(luma + stride + 8); |
| const int16x8_t src0 = |
| vcombine_s16(vpadd_s16(vget_low_s16(src0_lo), vget_high_s16(src0_lo)), |
| vpadd_s16(vget_low_s16(src0_hi), vget_high_s16(src0_hi))); |
| const int16x8_t src1 = |
| vcombine_s16(vpadd_s16(vget_low_s16(src1_lo), vget_high_s16(src1_lo)), |
| vpadd_s16(vget_low_s16(src1_hi), vget_high_s16(src1_hi))); |
| return vrshrq_n_s16(vaddq_s16(src0, src1), 2); |
| } |
| if (subsampling_x != 0) { |
| const int16x8_t src_lo = vld1q_s16(luma); |
| const int16x8_t src_hi = vld1q_s16(luma + 8); |
| const int16x8_t ret = |
| vcombine_s16(vpadd_s16(vget_low_s16(src_lo), vget_high_s16(src_lo)), |
| vpadd_s16(vget_low_s16(src_hi), vget_high_s16(src_hi))); |
| return vrshrq_n_s16(ret, 1); |
| } |
| return vld1q_s16(luma); |
| } |
| |
| // For BlendNoiseWithImageChromaWithCfl, only |subsampling_x| is needed. |
| inline uint16x8_t GetAverageLuma(const uint16_t* const luma, |
| int subsampling_x) { |
| if (subsampling_x != 0) { |
| const uint16x8x2_t src = vld2q_u16(luma); |
| return vrhaddq_u16(src.val[0], src.val[1]); |
| } |
| return vld1q_u16(luma); |
| } |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| template <int bitdepth, typename GrainType, int auto_regression_coeff_lag, |
| bool use_luma> |
| void ApplyAutoRegressiveFilterToChromaGrains_NEON(const FilmGrainParams& params, |
| const void* luma_grain_buffer, |
| int subsampling_x, |
| int subsampling_y, |
| void* u_grain_buffer, |
| void* v_grain_buffer) { |
| static_assert(auto_regression_coeff_lag <= 3, "Invalid autoregression lag."); |
| const auto* luma_grain = static_cast<const GrainType*>(luma_grain_buffer); |
| auto* u_grain = static_cast<GrainType*>(u_grain_buffer); |
| auto* v_grain = static_cast<GrainType*>(v_grain_buffer); |
| const int auto_regression_shift = params.auto_regression_shift; |
| const int chroma_width = |
| (subsampling_x == 0) ? kMaxChromaWidth : kMinChromaWidth; |
| const int chroma_height = |
| (subsampling_y == 0) ? kMaxChromaHeight : kMinChromaHeight; |
| // When |chroma_width| == 44, we write 8 at a time from x in [3, 34], |
| // leaving [35, 40] to write at the end. |
| const int chroma_width_remainder = |
| (chroma_width - 2 * kAutoRegressionBorder) & 7; |
| |
| int y = kAutoRegressionBorder; |
| luma_grain += kLumaWidth * y; |
| u_grain += chroma_width * y; |
| v_grain += chroma_width * y; |
| do { |
| // Each row is computed 8 values at a time in the following loop. At the |
| // end of the loop, 4 values remain to write. They are given a special |
| // reduced iteration at the end. |
| int x = kAutoRegressionBorder; |
| int luma_x = kAutoRegressionBorder; |
| do { |
| int pos = 0; |
| int32x4x2_t sum_u; |
| int32x4x2_t sum_v; |
| SetZero(&sum_u); |
| SetZero(&sum_v); |
| |
| if (auto_regression_coeff_lag > 0) { |
| for (int delta_row = -auto_regression_coeff_lag; delta_row < 0; |
| ++delta_row) { |
| // These loads may overflow to the next row, but they are never called |
| // on the final row of a grain block. Therefore, they will never |
| // exceed the block boundaries. |
| // Note: this could be slightly optimized to a single load in 8bpp, |
| // but requires making a special first iteration and accumulate |
| // function that takes an int8x16_t. |
| const int16x8_t u_grain_lo = |
| GetSignedSource8(u_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag); |
| const int16x8_t u_grain_hi = |
| GetSignedSource8(u_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag + 8); |
| const int16x8_t v_grain_lo = |
| GetSignedSource8(v_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag); |
| const int16x8_t v_grain_hi = |
| GetSignedSource8(v_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag + 8); |
| #define ACCUMULATE_WEIGHTED_GRAIN(offset) \ |
| sum_u = AccumulateWeightedGrain<offset>( \ |
| u_grain_lo, u_grain_hi, params.auto_regression_coeff_u[pos], sum_u); \ |
| sum_v = AccumulateWeightedGrain<offset>( \ |
| v_grain_lo, v_grain_hi, params.auto_regression_coeff_v[pos++], sum_v) |
| |
| ACCUMULATE_WEIGHTED_GRAIN(0); |
| ACCUMULATE_WEIGHTED_GRAIN(1); |
| ACCUMULATE_WEIGHTED_GRAIN(2); |
| // The horizontal |auto_regression_coeff_lag| loop is replaced with |
| // if-statements to give vextq_s16 an immediate param. |
| if (auto_regression_coeff_lag > 1) { |
| ACCUMULATE_WEIGHTED_GRAIN(3); |
| ACCUMULATE_WEIGHTED_GRAIN(4); |
| } |
| if (auto_regression_coeff_lag > 2) { |
| assert(auto_regression_coeff_lag == 3); |
| ACCUMULATE_WEIGHTED_GRAIN(5); |
| ACCUMULATE_WEIGHTED_GRAIN(6); |
| } |
| } |
| } |
| |
| if (use_luma) { |
| const int16x8_t luma = GetSubsampledLuma( |
| luma_grain + luma_x, subsampling_x, subsampling_y, kLumaWidth); |
| |
| // Luma samples get the final coefficient in the formula, but are best |
| // computed all at once before the final row. |
| const int coeff_u = |
| params.auto_regression_coeff_u[pos + auto_regression_coeff_lag]; |
| const int coeff_v = |
| params.auto_regression_coeff_v[pos + auto_regression_coeff_lag]; |
| |
| sum_u.val[0] = vmlal_n_s16(sum_u.val[0], vget_low_s16(luma), coeff_u); |
| sum_u.val[1] = vmlal_n_s16(sum_u.val[1], vget_high_s16(luma), coeff_u); |
| sum_v.val[0] = vmlal_n_s16(sum_v.val[0], vget_low_s16(luma), coeff_v); |
| sum_v.val[1] = vmlal_n_s16(sum_v.val[1], vget_high_s16(luma), coeff_v); |
| } |
| // At this point in the filter, the source addresses and destination |
| // addresses overlap. Because this is an auto-regressive filter, the |
| // higher lanes cannot be computed without the results of the lower lanes. |
| // Each call to WriteFinalAutoRegression incorporates preceding values |
| // on the final row, and writes a single sample. This allows the next |
| // pixel's value to be computed in the next call. |
| #define WRITE_AUTO_REGRESSION_RESULT(lane) \ |
| WriteFinalAutoRegressionChroma<bitdepth, auto_regression_coeff_lag, lane>( \ |
| u_grain + x, v_grain + x, sum_u, sum_v, params.auto_regression_coeff_u, \ |
| params.auto_regression_coeff_v, pos, auto_regression_shift) |
| |
| WRITE_AUTO_REGRESSION_RESULT(0); |
| WRITE_AUTO_REGRESSION_RESULT(1); |
| WRITE_AUTO_REGRESSION_RESULT(2); |
| WRITE_AUTO_REGRESSION_RESULT(3); |
| WRITE_AUTO_REGRESSION_RESULT(4); |
| WRITE_AUTO_REGRESSION_RESULT(5); |
| WRITE_AUTO_REGRESSION_RESULT(6); |
| WRITE_AUTO_REGRESSION_RESULT(7); |
| |
| x += 8; |
| luma_x += 8 << subsampling_x; |
| } while (x < chroma_width - kAutoRegressionBorder - chroma_width_remainder); |
| |
| // This is the "final iteration" of the above loop over width. We fill in |
| // the remainder of the width, which is less than 8. |
| int pos = 0; |
| int32x4x2_t sum_u; |
| int32x4x2_t sum_v; |
| SetZero(&sum_u); |
| SetZero(&sum_v); |
| |
| for (int delta_row = -auto_regression_coeff_lag; delta_row < 0; |
| ++delta_row) { |
| // These loads may overflow to the next row, but they are never called on |
| // the final row of a grain block. Therefore, they will never exceed the |
| // block boundaries. |
| const int16x8_t u_grain_lo = GetSignedSource8( |
| u_grain + x + delta_row * chroma_width - auto_regression_coeff_lag); |
| const int16x8_t u_grain_hi = |
| GetSignedSource8(u_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag + 8); |
| const int16x8_t v_grain_lo = GetSignedSource8( |
| v_grain + x + delta_row * chroma_width - auto_regression_coeff_lag); |
| const int16x8_t v_grain_hi = |
| GetSignedSource8(v_grain + x + delta_row * chroma_width - |
| auto_regression_coeff_lag + 8); |
| |
| ACCUMULATE_WEIGHTED_GRAIN(0); |
| ACCUMULATE_WEIGHTED_GRAIN(1); |
| ACCUMULATE_WEIGHTED_GRAIN(2); |
| // The horizontal |auto_regression_coeff_lag| loop is replaced with |
| // if-statements to give vextq_s16 an immediate param. |
| if (auto_regression_coeff_lag > 1) { |
| ACCUMULATE_WEIGHTED_GRAIN(3); |
| ACCUMULATE_WEIGHTED_GRAIN(4); |
| } |
| if (auto_regression_coeff_lag > 2) { |
| assert(auto_regression_coeff_lag == 3); |
| ACCUMULATE_WEIGHTED_GRAIN(5); |
| ACCUMULATE_WEIGHTED_GRAIN(6); |
| } |
| } |
| |
| if (use_luma) { |
| const int16x8_t luma = GetSubsampledLuma( |
| luma_grain + luma_x, subsampling_x, subsampling_y, kLumaWidth); |
| |
| // Luma samples get the final coefficient in the formula, but are best |
| // computed all at once before the final row. |
| const int coeff_u = |
| params.auto_regression_coeff_u[pos + auto_regression_coeff_lag]; |
| const int coeff_v = |
| params.auto_regression_coeff_v[pos + auto_regression_coeff_lag]; |
| |
| sum_u.val[0] = vmlal_n_s16(sum_u.val[0], vget_low_s16(luma), coeff_u); |
| sum_u.val[1] = vmlal_n_s16(sum_u.val[1], vget_high_s16(luma), coeff_u); |
| sum_v.val[0] = vmlal_n_s16(sum_v.val[0], vget_low_s16(luma), coeff_v); |
| sum_v.val[1] = vmlal_n_s16(sum_v.val[1], vget_high_s16(luma), coeff_v); |
| } |
| |
| WRITE_AUTO_REGRESSION_RESULT(0); |
| WRITE_AUTO_REGRESSION_RESULT(1); |
| WRITE_AUTO_REGRESSION_RESULT(2); |
| WRITE_AUTO_REGRESSION_RESULT(3); |
| if (chroma_width_remainder == 6) { |
| WRITE_AUTO_REGRESSION_RESULT(4); |
| WRITE_AUTO_REGRESSION_RESULT(5); |
| } |
| |
| luma_grain += kLumaWidth << subsampling_y; |
| u_grain += chroma_width; |
| v_grain += chroma_width; |
| } while (++y < chroma_height); |
| #undef ACCUMULATE_WEIGHTED_GRAIN |
| #undef WRITE_AUTO_REGRESSION_RESULT |
| } |
| |
| // Applies an auto-regressive filter to the white noise in luma_grain. |
| template <int bitdepth, typename GrainType, int auto_regression_coeff_lag> |
| void ApplyAutoRegressiveFilterToLumaGrain_NEON(const FilmGrainParams& params, |
| void* luma_grain_buffer) { |
| static_assert(auto_regression_coeff_lag > 0, ""); |
| const int8_t* const auto_regression_coeff_y = params.auto_regression_coeff_y; |
| const uint8_t auto_regression_shift = params.auto_regression_shift; |
| |
| int y = kAutoRegressionBorder; |
| auto* luma_grain = |
| static_cast<GrainType*>(luma_grain_buffer) + kLumaWidth * y; |
| do { |
| // Each row is computed 8 values at a time in the following loop. At the |
| // end of the loop, 4 values remain to write. They are given a special |
| // reduced iteration at the end. |
| int x = kAutoRegressionBorder; |
| do { |
| int pos = 0; |
| int32x4x2_t sum; |
| SetZero(&sum); |
| for (int delta_row = -auto_regression_coeff_lag; delta_row < 0; |
| ++delta_row) { |
| // These loads may overflow to the next row, but they are never called |
| // on the final row of a grain block. Therefore, they will never exceed |
| // the block boundaries. |
| const int16x8_t src_grain_lo = |
| GetSignedSource8(luma_grain + x + delta_row * kLumaWidth - |
| auto_regression_coeff_lag); |
| const int16x8_t src_grain_hi = |
| GetSignedSource8(luma_grain + x + delta_row * kLumaWidth - |
| auto_regression_coeff_lag + 8); |
| |
| // A pictorial representation of the auto-regressive filter for |
| // various values of params.auto_regression_coeff_lag. The letter 'O' |
| // represents the current sample. (The filter always operates on the |
| // current sample with filter coefficient 1.) The letters 'X' |
| // represent the neighboring samples that the filter operates on, below |
| // their corresponding "offset" number. |
| // |
| // params.auto_regression_coeff_lag == 3: |
| // 0 1 2 3 4 5 6 |
| // X X X X X X X |
| // X X X X X X X |
| // X X X X X X X |
| // X X X O |
| // params.auto_regression_coeff_lag == 2: |
| // 0 1 2 3 4 |
| // X X X X X |
| // X X X X X |
| // X X O |
| // params.auto_regression_coeff_lag == 1: |
| // 0 1 2 |
| // X X X |
| // X O |
| // params.auto_regression_coeff_lag == 0: |
| // O |
| // The function relies on the caller to skip the call in the 0 lag |
| // case. |
| |
| #define ACCUMULATE_WEIGHTED_GRAIN(offset) \ |
| sum = AccumulateWeightedGrain<offset>(src_grain_lo, src_grain_hi, \ |
| auto_regression_coeff_y[pos++], sum) |
| ACCUMULATE_WEIGHTED_GRAIN(0); |
| ACCUMULATE_WEIGHTED_GRAIN(1); |
| ACCUMULATE_WEIGHTED_GRAIN(2); |
| // The horizontal |auto_regression_coeff_lag| loop is replaced with |
| // if-statements to give vextq_s16 an immediate param. |
| if (auto_regression_coeff_lag > 1) { |
| ACCUMULATE_WEIGHTED_GRAIN(3); |
| ACCUMULATE_WEIGHTED_GRAIN(4); |
| } |
| if (auto_regression_coeff_lag > 2) { |
| assert(auto_regression_coeff_lag == 3); |
| ACCUMULATE_WEIGHTED_GRAIN(5); |
| ACCUMULATE_WEIGHTED_GRAIN(6); |
| } |
| } |
| // At this point in the filter, the source addresses and destination |
| // addresses overlap. Because this is an auto-regressive filter, the |
| // higher lanes cannot be computed without the results of the lower lanes. |
| // Each call to WriteFinalAutoRegression incorporates preceding values |
| // on the final row, and writes a single sample. This allows the next |
| // pixel's value to be computed in the next call. |
| #define WRITE_AUTO_REGRESSION_RESULT(lane) \ |
| WriteFinalAutoRegression<bitdepth, auto_regression_coeff_lag, lane>( \ |
| luma_grain + x, sum, auto_regression_coeff_y, pos, \ |
| auto_regression_shift) |
| |
| WRITE_AUTO_REGRESSION_RESULT(0); |
| WRITE_AUTO_REGRESSION_RESULT(1); |
| WRITE_AUTO_REGRESSION_RESULT(2); |
| WRITE_AUTO_REGRESSION_RESULT(3); |
| WRITE_AUTO_REGRESSION_RESULT(4); |
| WRITE_AUTO_REGRESSION_RESULT(5); |
| WRITE_AUTO_REGRESSION_RESULT(6); |
| WRITE_AUTO_REGRESSION_RESULT(7); |
| x += 8; |
| // Leave the final four pixels for the special iteration below. |
| } while (x < kLumaWidth - kAutoRegressionBorder - 4); |
| |
| // Final 4 pixels in the row. |
| int pos = 0; |
| int32x4x2_t sum; |
| SetZero(&sum); |
| for (int delta_row = -auto_regression_coeff_lag; delta_row < 0; |
| ++delta_row) { |
| const int16x8_t src_grain_lo = GetSignedSource8( |
| luma_grain + x + delta_row * kLumaWidth - auto_regression_coeff_lag); |
| const int16x8_t src_grain_hi = |
| GetSignedSource8(luma_grain + x + delta_row * kLumaWidth - |
| auto_regression_coeff_lag + 8); |
| |
| ACCUMULATE_WEIGHTED_GRAIN(0); |
| ACCUMULATE_WEIGHTED_GRAIN(1); |
| ACCUMULATE_WEIGHTED_GRAIN(2); |
| // The horizontal |auto_regression_coeff_lag| loop is replaced with |
| // if-statements to give vextq_s16 an immediate param. |
| if (auto_regression_coeff_lag > 1) { |
| ACCUMULATE_WEIGHTED_GRAIN(3); |
| ACCUMULATE_WEIGHTED_GRAIN(4); |
| } |
| if (auto_regression_coeff_lag > 2) { |
| assert(auto_regression_coeff_lag == 3); |
| ACCUMULATE_WEIGHTED_GRAIN(5); |
| ACCUMULATE_WEIGHTED_GRAIN(6); |
| } |
| } |
| // delta_row == 0 |
| WRITE_AUTO_REGRESSION_RESULT(0); |
| WRITE_AUTO_REGRESSION_RESULT(1); |
| WRITE_AUTO_REGRESSION_RESULT(2); |
| WRITE_AUTO_REGRESSION_RESULT(3); |
| luma_grain += kLumaWidth; |
| } while (++y < kLumaHeight); |
| |
| #undef WRITE_AUTO_REGRESSION_RESULT |
| #undef ACCUMULATE_WEIGHTED_GRAIN |
| } |
| |
| void InitializeScalingLookupTable_NEON( |
| int num_points, const uint8_t point_value[], const uint8_t point_scaling[], |
| uint8_t scaling_lut[kScalingLookupTableSize]) { |
| if (num_points == 0) { |
| memset(scaling_lut, 0, sizeof(scaling_lut[0]) * kScalingLookupTableSize); |
| return; |
| } |
| static_assert(sizeof(scaling_lut[0]) == 1, ""); |
| memset(scaling_lut, point_scaling[0], point_value[0]); |
| const uint32x4_t steps = vmovl_u16(vcreate_u16(0x0003000200010000)); |
| const uint32x4_t offset = vdupq_n_u32(32768); |
| for (int i = 0; i < num_points - 1; ++i) { |
| const int delta_y = point_scaling[i + 1] - point_scaling[i]; |
| const int delta_x = point_value[i + 1] - point_value[i]; |
| const int delta = delta_y * ((65536 + (delta_x >> 1)) / delta_x); |
| const int delta4 = delta << 2; |
| const uint8x8_t base_point = vdup_n_u8(point_scaling[i]); |
| uint32x4_t upscaled_points0 = vmlaq_n_u32(offset, steps, delta); |
| const uint32x4_t line_increment4 = vdupq_n_u32(delta4); |
| // Get the second set of 4 points by adding 4 steps to the first set. |
| uint32x4_t upscaled_points1 = vaddq_u32(upscaled_points0, line_increment4); |
| // We obtain the next set of 8 points by adding 8 steps to each of the |
| // current 8 points. |
| const uint32x4_t line_increment8 = vshlq_n_u32(line_increment4, 1); |
| int x = 0; |
| do { |
| const uint16x4_t interp_points0 = vshrn_n_u32(upscaled_points0, 16); |
| const uint16x4_t interp_points1 = vshrn_n_u32(upscaled_points1, 16); |
| const uint8x8_t interp_points = |
| vmovn_u16(vcombine_u16(interp_points0, interp_points1)); |
| // The spec guarantees that the max value of |point_value[i]| + x is 255. |
| // Writing 8 bytes starting at the final table byte, leaves 7 bytes of |
| // required padding. |
| vst1_u8(&scaling_lut[point_value[i] + x], |
| vadd_u8(interp_points, base_point)); |
| upscaled_points0 = vaddq_u32(upscaled_points0, line_increment8); |
| upscaled_points1 = vaddq_u32(upscaled_points1, line_increment8); |
| x += 8; |
| } while (x < delta_x); |
| } |
| const uint8_t last_point_value = point_value[num_points - 1]; |
| memset(&scaling_lut[last_point_value], point_scaling[num_points - 1], |
| kScalingLookupTableSize - last_point_value); |
| } |
| |
| inline int16x8_t Clip3(const int16x8_t value, const int16x8_t low, |
| const int16x8_t high) { |
| const int16x8_t clipped_to_ceiling = vminq_s16(high, value); |
| return vmaxq_s16(low, clipped_to_ceiling); |
| } |
| |
| template <int bitdepth, typename Pixel> |
| inline int16x8_t GetScalingFactors( |
| const uint8_t scaling_lut[kScalingLookupTableSize], const Pixel* source) { |
| int16_t start_vals[8]; |
| if (bitdepth == 8) { |
| start_vals[0] = scaling_lut[source[0]]; |
| start_vals[1] = scaling_lut[source[1]]; |
| start_vals[2] = scaling_lut[source[2]]; |
| start_vals[3] = scaling_lut[source[3]]; |
| start_vals[4] = scaling_lut[source[4]]; |
| start_vals[5] = scaling_lut[source[5]]; |
| start_vals[6] = scaling_lut[source[6]]; |
| start_vals[7] = scaling_lut[source[7]]; |
| return vld1q_s16(start_vals); |
| } |
| int16_t end_vals[8]; |
| // TODO(petersonab): Precompute this into a larger table for direct lookups. |
| int index = source[0] >> 2; |
| start_vals[0] = scaling_lut[index]; |
| end_vals[0] = scaling_lut[index + 1]; |
| index = source[1] >> 2; |
| start_vals[1] = scaling_lut[index]; |
| end_vals[1] = scaling_lut[index + 1]; |
| index = source[2] >> 2; |
| start_vals[2] = scaling_lut[index]; |
| end_vals[2] = scaling_lut[index + 1]; |
| index = source[3] >> 2; |
| start_vals[3] = scaling_lut[index]; |
| end_vals[3] = scaling_lut[index + 1]; |
| index = source[4] >> 2; |
| start_vals[4] = scaling_lut[index]; |
| end_vals[4] = scaling_lut[index + 1]; |
| index = source[5] >> 2; |
| start_vals[5] = scaling_lut[index]; |
| end_vals[5] = scaling_lut[index + 1]; |
| index = source[6] >> 2; |
| start_vals[6] = scaling_lut[index]; |
| end_vals[6] = scaling_lut[index + 1]; |
| index = source[7] >> 2; |
| start_vals[7] = scaling_lut[index]; |
| end_vals[7] = scaling_lut[index + 1]; |
| const int16x8_t start = vld1q_s16(start_vals); |
| const int16x8_t end = vld1q_s16(end_vals); |
| int16x8_t remainder = GetSignedSource8(source); |
| remainder = vandq_s16(remainder, vdupq_n_s16(3)); |
| const int16x8_t delta = vmulq_s16(vsubq_s16(end, start), remainder); |
| return vaddq_s16(start, vrshrq_n_s16(delta, 2)); |
| } |
| |
| inline int16x8_t ScaleNoise(const int16x8_t noise, const int16x8_t scaling, |
| const int16x8_t scaling_shift_vect) { |
| const int16x8_t upscaled_noise = vmulq_s16(noise, scaling); |
| return vrshlq_s16(upscaled_noise, scaling_shift_vect); |
| } |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| inline int16x8_t ScaleNoise(const int16x8_t noise, const int16x8_t scaling, |
| const int32x4_t scaling_shift_vect) { |
| // TODO(petersonab): Try refactoring scaling lookup table to int16_t and |
| // upscaling by 7 bits to permit high half multiply. This would eliminate |
| // the intermediate 32x4 registers. Also write the averaged values directly |
| // into the table so it doesn't have to be done for every pixel in |
| // the frame. |
| const int32x4_t upscaled_noise_lo = |
| vmull_s16(vget_low_s16(noise), vget_low_s16(scaling)); |
| const int32x4_t upscaled_noise_hi = |
| vmull_s16(vget_high_s16(noise), vget_high_s16(scaling)); |
| const int16x4_t noise_lo = |
| vmovn_s32(vrshlq_s32(upscaled_noise_lo, scaling_shift_vect)); |
| const int16x4_t noise_hi = |
| vmovn_s32(vrshlq_s32(upscaled_noise_hi, scaling_shift_vect)); |
| return vcombine_s16(noise_lo, noise_hi); |
| } |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| template <int bitdepth, typename GrainType, typename Pixel> |
| void BlendNoiseWithImageLuma_NEON( |
| const void* noise_image_ptr, int min_value, int max_luma, int scaling_shift, |
| int width, int height, int start_height, |
| const uint8_t scaling_lut_y[kScalingLookupTableSize], |
| const void* source_plane_y, ptrdiff_t source_stride_y, void* dest_plane_y, |
| ptrdiff_t dest_stride_y) { |
| const auto* noise_image = |
| static_cast<const Array2D<GrainType>*>(noise_image_ptr); |
| const auto* in_y_row = static_cast<const Pixel*>(source_plane_y); |
| source_stride_y /= sizeof(Pixel); |
| auto* out_y_row = static_cast<Pixel*>(dest_plane_y); |
| dest_stride_y /= sizeof(Pixel); |
| const int16x8_t floor = vdupq_n_s16(min_value); |
| const int16x8_t ceiling = vdupq_n_s16(max_luma); |
| // In 8bpp, the maximum upscaled noise is 127*255 = 0x7E81, which is safe |
| // for 16 bit signed integers. In higher bitdepths, however, we have to |
| // expand to 32 to protect the sign bit. |
| const int16x8_t scaling_shift_vect16 = vdupq_n_s16(-scaling_shift); |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| const int32x4_t scaling_shift_vect32 = vdupq_n_s32(-scaling_shift); |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| int y = 0; |
| do { |
| int x = 0; |
| do { |
| // This operation on the unsigned input is safe in 8bpp because the vector |
| // is widened before it is reinterpreted. |
| const int16x8_t orig = GetSignedSource8(&in_y_row[x]); |
| const int16x8_t scaling = |
| GetScalingFactors<bitdepth, Pixel>(scaling_lut_y, &in_y_row[x]); |
| int16x8_t noise = |
| GetSignedSource8(&(noise_image[kPlaneY][y + start_height][x])); |
| |
| if (bitdepth == 8) { |
| noise = ScaleNoise(noise, scaling, scaling_shift_vect16); |
| } else { |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| noise = ScaleNoise(noise, scaling, scaling_shift_vect32); |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| } |
| const int16x8_t combined = vaddq_s16(orig, noise); |
| // In 8bpp, when params_.clip_to_restricted_range == false, we can replace |
| // clipping with vqmovun_s16, but it's not likely to be worth copying the |
| // function for just that case, though the gain would be very small. |
| StoreUnsigned8(&out_y_row[x], |
| vreinterpretq_u16_s16(Clip3(combined, floor, ceiling))); |
| x += 8; |
| } while (x < width); |
| in_y_row += source_stride_y; |
| out_y_row += dest_stride_y; |
| } while (++y < height); |
| } |
| |
| template <int bitdepth, typename GrainType, typename Pixel> |
| inline int16x8_t BlendChromaValsWithCfl( |
| const Pixel* average_luma_buffer, |
| const uint8_t scaling_lut[kScalingLookupTableSize], |
| const Pixel* chroma_cursor, const GrainType* noise_image_cursor, |
| const int16x8_t scaling_shift_vect16, |
| const int32x4_t scaling_shift_vect32) { |
| const int16x8_t scaling = |
| GetScalingFactors<bitdepth, Pixel>(scaling_lut, average_luma_buffer); |
| const int16x8_t orig = GetSignedSource8(chroma_cursor); |
| int16x8_t noise = GetSignedSource8(noise_image_cursor); |
| if (bitdepth == 8) { |
| noise = ScaleNoise(noise, scaling, scaling_shift_vect16); |
| } else { |
| noise = ScaleNoise(noise, scaling, scaling_shift_vect32); |
| } |
| return vaddq_s16(orig, noise); |
| } |
| |
| template <int bitdepth, typename GrainType, typename Pixel> |
| LIBGAV1_ALWAYS_INLINE void BlendChromaPlaneWithCfl_NEON( |
| const Array2D<GrainType>& noise_image, int min_value, int max_chroma, |
| int width, int height, int start_height, int subsampling_x, |
| int subsampling_y, int scaling_shift, |
| const uint8_t scaling_lut[kScalingLookupTableSize], const Pixel* in_y_row, |
| ptrdiff_t source_stride_y, const Pixel* in_chroma_row, |
| ptrdiff_t source_stride_chroma, Pixel* out_chroma_row, |
| ptrdiff_t dest_stride) { |
| const int16x8_t floor = vdupq_n_s16(min_value); |
| const int16x8_t ceiling = vdupq_n_s16(max_chroma); |
| Pixel luma_buffer[16]; |
| memset(luma_buffer, 0, sizeof(luma_buffer)); |
| // In 8bpp, the maximum upscaled noise is 127*255 = 0x7E81, which is safe |
| // for 16 bit signed integers. In higher bitdepths, however, we have to |
| // expand to 32 to protect the sign bit. |
| const int16x8_t scaling_shift_vect16 = vdupq_n_s16(-scaling_shift); |
| const int32x4_t scaling_shift_vect32 = vdupq_n_s32(-scaling_shift); |
| |
| const int chroma_height = (height + subsampling_y) >> subsampling_y; |
| const int chroma_width = (width + subsampling_x) >> subsampling_x; |
| const int safe_chroma_width = chroma_width & ~7; |
| |
| // Writing to this buffer avoids the cost of doing 8 lane lookups in a row |
| // in GetScalingFactors. |
| Pixel average_luma_buffer[8]; |
| assert(start_height % 2 == 0); |
| start_height >>= subsampling_y; |
| int y = 0; |
| do { |
| int x = 0; |
| do { |
| const int luma_x = x << subsampling_x; |
| // TODO(petersonab): Consider specializing by subsampling_x. In the 444 |
| // case &in_y_row[x] can be passed to GetScalingFactors directly. |
| const uint16x8_t average_luma = |
| GetAverageLuma(&in_y_row[luma_x], subsampling_x); |
| StoreUnsigned8(average_luma_buffer, average_luma); |
| |
| const int16x8_t blended = |
| BlendChromaValsWithCfl<bitdepth, GrainType, Pixel>( |
| average_luma_buffer, scaling_lut, &in_chroma_row[x], |
| &(noise_image[y + start_height][x]), scaling_shift_vect16, |
| scaling_shift_vect32); |
| |
| // In 8bpp, when params_.clip_to_restricted_range == false, we can replace |
| // clipping with vqmovun_s16, but it's not likely to be worth copying the |
| // function for just that case. |
| StoreUnsigned8(&out_chroma_row[x], |
| vreinterpretq_u16_s16(Clip3(blended, floor, ceiling))); |
| x += 8; |
| } while (x < safe_chroma_width); |
| |
| if (x < chroma_width) { |
| const int luma_x = x << subsampling_x; |
| const int valid_range = width - luma_x; |
| memcpy(luma_buffer, &in_y_row[luma_x], valid_range * sizeof(in_y_row[0])); |
| luma_buffer[valid_range] = in_y_row[width - 1]; |
| const uint16x8_t average_luma = |
| GetAverageLuma(luma_buffer, subsampling_x); |
| StoreUnsigned8(average_luma_buffer, average_luma); |
| |
| const int16x8_t blended = |
| BlendChromaValsWithCfl<bitdepth, GrainType, Pixel>( |
| average_luma_buffer, scaling_lut, &in_chroma_row[x], |
| &(noise_image[y + start_height][x]), scaling_shift_vect16, |
| scaling_shift_vect32); |
| // In 8bpp, when params_.clip_to_restricted_range == false, we can replace |
| // clipping with vqmovun_s16, but it's not likely to be worth copying the |
| // function for just that case. |
| StoreUnsigned8(&out_chroma_row[x], |
| vreinterpretq_u16_s16(Clip3(blended, floor, ceiling))); |
| } |
| |
| in_y_row += source_stride_y << subsampling_y; |
| in_chroma_row += source_stride_chroma; |
| out_chroma_row += dest_stride; |
| } while (++y < chroma_height); |
| } |
| |
| // This function is for the case params_.chroma_scaling_from_luma == true. |
| // This further implies that scaling_lut_u == scaling_lut_v == scaling_lut_y. |
| template <int bitdepth, typename GrainType, typename Pixel> |
| void BlendNoiseWithImageChromaWithCfl_NEON( |
| Plane plane, const FilmGrainParams& params, const void* noise_image_ptr, |
| int min_value, int max_chroma, int width, int height, int start_height, |
| int subsampling_x, int subsampling_y, |
| const uint8_t scaling_lut[kScalingLookupTableSize], |
| const void* source_plane_y, ptrdiff_t source_stride_y, |
| const void* source_plane_uv, ptrdiff_t source_stride_uv, |
| void* dest_plane_uv, ptrdiff_t dest_stride_uv) { |
| const auto* noise_image = |
| static_cast<const Array2D<GrainType>*>(noise_image_ptr); |
| const auto* in_y = static_cast<const Pixel*>(source_plane_y); |
| source_stride_y /= sizeof(Pixel); |
| |
| const auto* in_uv = static_cast<const Pixel*>(source_plane_uv); |
| source_stride_uv /= sizeof(Pixel); |
| auto* out_uv = static_cast<Pixel*>(dest_plane_uv); |
| dest_stride_uv /= sizeof(Pixel); |
| // Looping over one plane at a time is faster in higher resolutions, despite |
| // re-computing luma. |
| BlendChromaPlaneWithCfl_NEON<bitdepth, GrainType, Pixel>( |
| noise_image[plane], min_value, max_chroma, width, height, start_height, |
| subsampling_x, subsampling_y, params.chroma_scaling, scaling_lut, in_y, |
| source_stride_y, in_uv, source_stride_uv, out_uv, dest_stride_uv); |
| } |
| |
| } // namespace |
| |
| namespace low_bitdepth { |
| namespace { |
| |
| inline int16x8_t BlendChromaValsNoCfl( |
| const uint8_t scaling_lut[kScalingLookupTableSize], |
| const uint8_t* chroma_cursor, const int8_t* noise_image_cursor, |
| const int16x8_t& average_luma, const int16x8_t& scaling_shift_vect, |
| const int16x8_t& offset, int luma_multiplier, int chroma_multiplier) { |
| uint8_t merged_buffer[8]; |
| const int16x8_t orig = GetSignedSource8(chroma_cursor); |
| const int16x8_t weighted_luma = vmulq_n_s16(average_luma, luma_multiplier); |
| const int16x8_t weighted_chroma = vmulq_n_s16(orig, chroma_multiplier); |
| // Maximum value of |combined_u| is 127*255 = 0x7E81. |
| const int16x8_t combined = vhaddq_s16(weighted_luma, weighted_chroma); |
| // Maximum value of u_offset is (255 << 5) = 0x1FE0. |
| // 0x7E81 + 0x1FE0 = 0x9E61, therefore another halving add is required. |
| const uint8x8_t merged = vqshrun_n_s16(vhaddq_s16(offset, combined), 4); |
| vst1_u8(merged_buffer, merged); |
| const int16x8_t scaling = |
| GetScalingFactors<8, uint8_t>(scaling_lut, merged_buffer); |
| int16x8_t noise = GetSignedSource8(noise_image_cursor); |
| noise = ScaleNoise(noise, scaling, scaling_shift_vect); |
| return vaddq_s16(orig, noise); |
| } |
| |
| LIBGAV1_ALWAYS_INLINE void BlendChromaPlane8bpp_NEON( |
| const Array2D<int8_t>& noise_image, int min_value, int max_chroma, |
| int width, int height, int start_height, int subsampling_x, |
| int subsampling_y, int scaling_shift, int chroma_offset, |
| int chroma_multiplier, int luma_multiplier, |
| const uint8_t scaling_lut[kScalingLookupTableSize], const uint8_t* in_y_row, |
| ptrdiff_t source_stride_y, const uint8_t* in_chroma_row, |
| ptrdiff_t source_stride_chroma, uint8_t* out_chroma_row, |
| ptrdiff_t dest_stride) { |
| const int16x8_t floor = vdupq_n_s16(min_value); |
| const int16x8_t ceiling = vdupq_n_s16(max_chroma); |
| // In 8bpp, the maximum upscaled noise is 127*255 = 0x7E81, which is safe |
| // for 16 bit signed integers. In higher bitdepths, however, we have to |
| // expand to 32 to protect the sign bit. |
| const int16x8_t scaling_shift_vect = vdupq_n_s16(-scaling_shift); |
| |
| const int chroma_height = (height + subsampling_y) >> subsampling_y; |
| const int chroma_width = (width + subsampling_x) >> subsampling_x; |
| const int safe_chroma_width = chroma_width & ~7; |
| uint8_t luma_buffer[16]; |
| const int16x8_t offset = vdupq_n_s16(chroma_offset << 5); |
| |
| start_height >>= subsampling_y; |
| int y = 0; |
| do { |
| int x = 0; |
| do { |
| const int luma_x = x << subsampling_x; |
| const int16x8_t average_luma = vreinterpretq_s16_u16( |
| GetAverageLuma(&in_y_row[luma_x], subsampling_x)); |
| const int16x8_t blended = BlendChromaValsNoCfl( |
| scaling_lut, &in_chroma_row[x], &(noise_image[y + start_height][x]), |
| average_luma, scaling_shift_vect, offset, luma_multiplier, |
| chroma_multiplier); |
| // In 8bpp, when params_.clip_to_restricted_range == false, we can |
| // replace clipping with vqmovun_s16, but the gain would be small. |
| StoreUnsigned8(&out_chroma_row[x], |
| vreinterpretq_u16_s16(Clip3(blended, floor, ceiling))); |
| |
| x += 8; |
| } while (x < safe_chroma_width); |
| |
| if (x < chroma_width) { |
| // Begin right edge iteration. Same as the normal iterations, but the |
| // |average_luma| computation requires a duplicated luma value at the |
| // end. |
| const int luma_x = x << subsampling_x; |
| const int valid_range = width - luma_x; |
| memcpy(luma_buffer, &in_y_row[luma_x], valid_range * sizeof(in_y_row[0])); |
| luma_buffer[valid_range] = in_y_row[width - 1]; |
| |
| const int16x8_t average_luma = |
| vreinterpretq_s16_u16(GetAverageLuma(luma_buffer, subsampling_x)); |
| const int16x8_t blended = BlendChromaValsNoCfl( |
| scaling_lut, &in_chroma_row[x], &(noise_image[y + start_height][x]), |
| average_luma, scaling_shift_vect, offset, luma_multiplier, |
| chroma_multiplier); |
| StoreUnsigned8(&out_chroma_row[x], |
| vreinterpretq_u16_s16(Clip3(blended, floor, ceiling))); |
| // End of right edge iteration. |
| } |
| |
| in_y_row += source_stride_y << subsampling_y; |
| in_chroma_row += source_stride_chroma; |
| out_chroma_row += dest_stride; |
| } while (++y < chroma_height); |
| } |
| |
| // This function is for the case params_.chroma_scaling_from_luma == false. |
| void BlendNoiseWithImageChroma8bpp_NEON( |
| Plane plane, const FilmGrainParams& params, const void* noise_image_ptr, |
| int min_value, int max_chroma, int width, int height, int start_height, |
| int subsampling_x, int subsampling_y, |
| const uint8_t scaling_lut[kScalingLookupTableSize], |
| const void* source_plane_y, ptrdiff_t source_stride_y, |
| const void* source_plane_uv, ptrdiff_t source_stride_uv, |
| void* dest_plane_uv, ptrdiff_t dest_stride_uv) { |
| assert(plane == kPlaneU || plane == kPlaneV); |
| const auto* noise_image = |
| static_cast<const Array2D<int8_t>*>(noise_image_ptr); |
| const auto* in_y = static_cast<const uint8_t*>(source_plane_y); |
| const auto* in_uv = static_cast<const uint8_t*>(source_plane_uv); |
| auto* out_uv = static_cast<uint8_t*>(dest_plane_uv); |
| |
| const int offset = (plane == kPlaneU) ? params.u_offset : params.v_offset; |
| const int luma_multiplier = |
| (plane == kPlaneU) ? params.u_luma_multiplier : params.v_luma_multiplier; |
| const int multiplier = |
| (plane == kPlaneU) ? params.u_multiplier : params.v_multiplier; |
| BlendChromaPlane8bpp_NEON(noise_image[plane], min_value, max_chroma, width, |
| height, start_height, subsampling_x, subsampling_y, |
| params.chroma_scaling, offset, multiplier, |
| luma_multiplier, scaling_lut, in_y, source_stride_y, |
| in_uv, source_stride_uv, out_uv, dest_stride_uv); |
| } |
| |
| inline void WriteOverlapLine8bpp_NEON(const int8_t* noise_stripe_row, |
| const int8_t* noise_stripe_row_prev, |
| int plane_width, |
| const int8x8_t grain_coeff, |
| const int8x8_t old_coeff, |
| int8_t* noise_image_row) { |
| int x = 0; |
| do { |
| // Note that these reads may exceed noise_stripe_row's width by up to 7 |
| // bytes. |
| const int8x8_t source_grain = vld1_s8(noise_stripe_row + x); |
| const int8x8_t source_old = vld1_s8(noise_stripe_row_prev + x); |
| const int16x8_t weighted_grain = vmull_s8(grain_coeff, source_grain); |
| const int16x8_t grain = vmlal_s8(weighted_grain, old_coeff, source_old); |
| // Note that this write may exceed noise_image_row's width by up to 7 bytes. |
| vst1_s8(noise_image_row + x, vqrshrn_n_s16(grain, 5)); |
| x += 8; |
| } while (x < plane_width); |
| } |
| |
| void ConstructNoiseImageOverlap8bpp_NEON(const void* noise_stripes_buffer, |
| int width, int height, |
| int subsampling_x, int subsampling_y, |
| void* noise_image_buffer) { |
| const auto* noise_stripes = |
| static_cast<const Array2DView<int8_t>*>(noise_stripes_buffer); |
| auto* noise_image = static_cast<Array2D<int8_t>*>(noise_image_buffer); |
| const int plane_width = (width + subsampling_x) >> subsampling_x; |
| const int plane_height = (height + subsampling_y) >> subsampling_y; |
| const int stripe_height = 32 >> subsampling_y; |
| const int stripe_mask = stripe_height - 1; |
| int y = stripe_height; |
| int luma_num = 1; |
| if (subsampling_y == 0) { |
| const int8x8_t first_row_grain_coeff = vdup_n_s8(17); |
| const int8x8_t first_row_old_coeff = vdup_n_s8(27); |
| const int8x8_t second_row_grain_coeff = first_row_old_coeff; |
| const int8x8_t second_row_old_coeff = first_row_grain_coeff; |
| for (; y < (plane_height & ~stripe_mask); ++luma_num, y += stripe_height) { |
| const int8_t* noise_stripe = (*noise_stripes)[luma_num]; |
| const int8_t* noise_stripe_prev = (*noise_stripes)[luma_num - 1]; |
| WriteOverlapLine8bpp_NEON( |
| noise_stripe, &noise_stripe_prev[32 * plane_width], plane_width, |
| first_row_grain_coeff, first_row_old_coeff, (*noise_image)[y]); |
| |
| WriteOverlapLine8bpp_NEON(&noise_stripe[plane_width], |
| &noise_stripe_prev[(32 + 1) * plane_width], |
| plane_width, second_row_grain_coeff, |
| second_row_old_coeff, (*noise_image)[y + 1]); |
| } |
| // Either one partial stripe remains (remaining_height > 0), |
| // OR image is less than one stripe high (remaining_height < 0), |
| // OR all stripes are completed (remaining_height == 0). |
| const int remaining_height = plane_height - y; |
| if (remaining_height <= 0) { |
| return; |
| } |
| const int8_t* noise_stripe = (*noise_stripes)[luma_num]; |
| const int8_t* noise_stripe_prev = (*noise_stripes)[luma_num - 1]; |
| WriteOverlapLine8bpp_NEON( |
| noise_stripe, &noise_stripe_prev[32 * plane_width], plane_width, |
| first_row_grain_coeff, first_row_old_coeff, (*noise_image)[y]); |
| |
| if (remaining_height > 1) { |
| WriteOverlapLine8bpp_NEON(&noise_stripe[plane_width], |
| &noise_stripe_prev[(32 + 1) * plane_width], |
| plane_width, second_row_grain_coeff, |
| second_row_old_coeff, (*noise_image)[y + 1]); |
| } |
| } else { // subsampling_y == 1 |
| const int8x8_t first_row_grain_coeff = vdup_n_s8(22); |
| const int8x8_t first_row_old_coeff = vdup_n_s8(23); |
| for (; y < plane_height; ++luma_num, y += stripe_height) { |
| const int8_t* noise_stripe = (*noise_stripes)[luma_num]; |
| const int8_t* noise_stripe_prev = (*noise_stripes)[luma_num - 1]; |
| WriteOverlapLine8bpp_NEON( |
| noise_stripe, &noise_stripe_prev[16 * plane_width], plane_width, |
| first_row_grain_coeff, first_row_old_coeff, (*noise_image)[y]); |
| } |
| } |
| } |
| |
| void Init8bpp() { |
| Dsp* const dsp = dsp_internal::GetWritableDspTable(kBitdepth8); |
| assert(dsp != nullptr); |
| |
| // LumaAutoRegressionFunc |
| dsp->film_grain.luma_auto_regression[0] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<8, int8_t, 1>; |
| dsp->film_grain.luma_auto_regression[1] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<8, int8_t, 2>; |
| dsp->film_grain.luma_auto_regression[2] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<8, int8_t, 3>; |
| |
| // ChromaAutoRegressionFunc[use_luma][auto_regression_coeff_lag] |
| // Chroma autoregression should never be called when lag is 0 and use_luma |
| // is false. |
| dsp->film_grain.chroma_auto_regression[0][0] = nullptr; |
| dsp->film_grain.chroma_auto_regression[0][1] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 1, false>; |
| dsp->film_grain.chroma_auto_regression[0][2] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 2, false>; |
| dsp->film_grain.chroma_auto_regression[0][3] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 3, false>; |
| dsp->film_grain.chroma_auto_regression[1][0] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 0, true>; |
| dsp->film_grain.chroma_auto_regression[1][1] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 1, true>; |
| dsp->film_grain.chroma_auto_regression[1][2] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 2, true>; |
| dsp->film_grain.chroma_auto_regression[1][3] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<8, int8_t, 3, true>; |
| |
| dsp->film_grain.construct_noise_image_overlap = |
| ConstructNoiseImageOverlap8bpp_NEON; |
| |
| dsp->film_grain.initialize_scaling_lut = InitializeScalingLookupTable_NEON; |
| |
| dsp->film_grain.blend_noise_luma = |
| BlendNoiseWithImageLuma_NEON<8, int8_t, uint8_t>; |
| dsp->film_grain.blend_noise_chroma[0] = BlendNoiseWithImageChroma8bpp_NEON; |
| dsp->film_grain.blend_noise_chroma[1] = |
| BlendNoiseWithImageChromaWithCfl_NEON<8, int8_t, uint8_t>; |
| } |
| |
| } // namespace |
| } // namespace low_bitdepth |
| |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| namespace high_bitdepth { |
| namespace { |
| |
| void Init10bpp() { |
| Dsp* const dsp = dsp_internal::GetWritableDspTable(kBitdepth10); |
| assert(dsp != nullptr); |
| |
| // LumaAutoRegressionFunc |
| dsp->film_grain.luma_auto_regression[0] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<10, int16_t, 1>; |
| dsp->film_grain.luma_auto_regression[1] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<10, int16_t, 2>; |
| dsp->film_grain.luma_auto_regression[2] = |
| ApplyAutoRegressiveFilterToLumaGrain_NEON<10, int16_t, 3>; |
| |
| // ChromaAutoRegressionFunc[use_luma][auto_regression_coeff_lag][subsampling] |
| // Chroma autoregression should never be called when lag is 0 and use_luma |
| // is false. |
| dsp->film_grain.chroma_auto_regression[0][0] = nullptr; |
| dsp->film_grain.chroma_auto_regression[0][1] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 1, false>; |
| dsp->film_grain.chroma_auto_regression[0][2] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 2, false>; |
| dsp->film_grain.chroma_auto_regression[0][3] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 3, false>; |
| dsp->film_grain.chroma_auto_regression[1][0] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 0, true>; |
| dsp->film_grain.chroma_auto_regression[1][1] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 1, true>; |
| dsp->film_grain.chroma_auto_regression[1][2] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 2, true>; |
| dsp->film_grain.chroma_auto_regression[1][3] = |
| ApplyAutoRegressiveFilterToChromaGrains_NEON<10, int16_t, 3, true>; |
| |
| dsp->film_grain.initialize_scaling_lut = InitializeScalingLookupTable_NEON; |
| |
| dsp->film_grain.blend_noise_luma = |
| BlendNoiseWithImageLuma_NEON<10, int16_t, uint16_t>; |
| dsp->film_grain.blend_noise_chroma[1] = |
| BlendNoiseWithImageChromaWithCfl_NEON<10, int16_t, uint16_t>; |
| } |
| |
| } // namespace |
| } // namespace high_bitdepth |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| |
| } // namespace film_grain |
| |
| void FilmGrainInit_NEON() { |
| film_grain::low_bitdepth::Init8bpp(); |
| #if LIBGAV1_MAX_BITDEPTH >= 10 |
| film_grain::high_bitdepth::Init10bpp(); |
| #endif // LIBGAV1_MAX_BITDEPTH >= 10 |
| } |
| |
| } // namespace dsp |
| } // namespace libgav1 |
| |
| #else // !LIBGAV1_ENABLE_NEON |
| |
| namespace libgav1 { |
| namespace dsp { |
| |
| void FilmGrainInit_NEON() {} |
| |
| } // namespace dsp |
| } // namespace libgav1 |
| #endif // LIBGAV1_ENABLE_NEON |
