This sample demonstrates using RenderScript to perform basic image manipulation. Specifically, it allows users to dynamically adjust the saturation for an image using a slider. A custom RenderScript kernel performs the saturation adjustment, running the computation on the device's GPU or other compute hardware as deemed appropriate by the system.
RenderScript is a framework for running computationally intensive tasks at high performance on Android. RenderScript is primarily oriented for use with data-parallel computation, although serial computationally intensive workloads can benefit as well.
The RenderScript runtime will parallelize work across all processors available on a device, such as multi-core CPUs, GPUs, or DSPs, allowing you to focus on expressing algorithms rather than scheduling work or load balancing. RenderScript is especially useful for applications performing image processing, computational photography, or computer vision.
This sample demonstrates the fundamentals of writing a RenderScript compute kernel, and using it to perform basic image manipulation. In this case, each pixel is transformed based on a liner interpolation between its original RGB value and it‘s luminance (black-and-white) value, weighted based on the user’s specified saturation target.
This sample uses the Gradle build system. To build this project, use the “gradlew build” command or use “Import Project” in Android Studio.
If you've found an error in this sample, please file an issue: https://github.com/googlesamples/android-BasicRenderScript
Patches are encouraged, and may be submitted by forking this project and submitting a pull request through GitHub. Please see CONTRIBUTING.md for more details.
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