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/*
* Copyright 2007 Google Inc.
*
* 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.
*/
package com.google.zxing.client.j2se;
import com.google.zxing.BlackPointEstimationMethod;
import com.google.zxing.MonochromeBitmapSource;
import com.google.zxing.common.BitArray;
import com.google.zxing.common.BlackPointEstimator;
import java.awt.geom.AffineTransform;
import java.awt.image.AffineTransformOp;
import java.awt.image.BufferedImage;
import java.awt.image.BufferedImageOp;
/**
* <p>An implementation based upon {@link BufferedImage}. This provides access to the
* underlying image as if it were a monochrome image. Behind the scenes, it is evaluating
* the luminance of the underlying image by retrieving its pixels' RGB values.</p>
*
* @author srowen@google.com (Sean Owen), Daniel Switkin (dswitkin@google.com)
*/
public final class BufferedImageMonochromeBitmapSource implements MonochromeBitmapSource {
private final BufferedImage image;
private int blackPoint;
private BlackPointEstimationMethod lastMethod;
private int lastArgument;
private static final int LUMINANCE_BITS = 5;
private static final int LUMINANCE_SHIFT = 8 - LUMINANCE_BITS;
private static final int LUMINANCE_BUCKETS = 1 << LUMINANCE_BITS;
public BufferedImageMonochromeBitmapSource(BufferedImage image) {
this.image = image;
blackPoint = 0x7F;
lastMethod = null;
lastArgument = 0;
}
public boolean isBlack(int x, int y) {
return computeRGBLuminance(image.getRGB(x, y)) < blackPoint;
}
public BitArray getBlackRow(int y, BitArray row, int startX, int getWidth) {
if (row == null) {
row = new BitArray(getWidth);
} else {
row.clear();
}
int[] pixelRow = image.getRGB(startX, y, getWidth, 1, null, 0, getWidth);
for (int i = 0; i < getWidth; i++) {
if (computeRGBLuminance(pixelRow[i]) < blackPoint) {
row.set(i);
}
}
return row;
}
public int getHeight() {
return image.getHeight();
}
public int getWidth() {
return image.getWidth();
}
public void estimateBlackPoint(BlackPointEstimationMethod method, int argument) {
if (!method.equals(lastMethod) || argument != lastArgument) {
int width = image.getWidth();
int height = image.getHeight();
int[] histogram = new int[LUMINANCE_BUCKETS];
float biasTowardsWhite = 1.0f;
if (method.equals(BlackPointEstimationMethod.TWO_D_SAMPLING)) {
int minDimension = width < height ? width : height;
int startI = height == minDimension ? 0 : (height - width) >> 1;
int startJ = width == minDimension ? 0 : (width - height) >> 1;
for (int n = 0; n < minDimension; n++) {
int pixel = image.getRGB(startJ + n, startI + n);
histogram[computeRGBLuminance(pixel) >> LUMINANCE_SHIFT]++;
}
} else if (method.equals(BlackPointEstimationMethod.ROW_SAMPLING)) {
if (argument < 0 || argument >= height) {
throw new IllegalArgumentException("Row is not within the image: " + argument);
}
biasTowardsWhite = 2.0f;
int[] rgbArray = new int[width];
image.getRGB(0, argument, width, 1, rgbArray, 0, width);
for (int x = 0; x < width; x++) {
histogram[computeRGBLuminance(rgbArray[x]) >> LUMINANCE_SHIFT]++;
}
} else {
throw new IllegalArgumentException("Unknown method: " + method);
}
blackPoint = BlackPointEstimator.estimate(histogram, biasTowardsWhite) << LUMINANCE_SHIFT;
lastMethod = method;
lastArgument = argument;
}
}
public BlackPointEstimationMethod getLastEstimationMethod() {
return lastMethod;
}
public MonochromeBitmapSource rotateCounterClockwise() {
// 90 degrees counterclockwise:
AffineTransform transform = new AffineTransform(0.0, -1.0, 1.0, 0.0, 0.0, image.getHeight());
BufferedImageOp op = new AffineTransformOp(transform, AffineTransformOp.TYPE_NEAREST_NEIGHBOR);
BufferedImage rotatedImage = new BufferedImage(image.getHeight(), image.getWidth(), image.getType());
op.filter(image, rotatedImage);
return new BufferedImageMonochromeBitmapSource(rotatedImage);
}
public boolean isRotatedSupported() {
return true;
}
/**
* Extracts luminance from a pixel from this source. By default, the source is assumed to use RGB,
* so this implementation computes luminance is a function of a red, green and blue components as
* follows:
*
* <code>Y = 0.299R + 0.587G + 0.114B</code>
*
* where R, G, and B are values in [0,1].
*/
private static int computeRGBLuminance(int pixel) {
// Coefficients add up to 1024 to make the divide into a fast shift
return (306 * ((pixel >> 16) & 0xFF) +
601 * ((pixel >> 8) & 0xFF) +
117 * (pixel & 0xFF)) >> 10;
}
}