This project is a C++/OpenCL implementation of high-performance camera ISP:

• bad pixels
• black level adjust
• green balancing
• white balancing
• noise reduction
• demosaicing
• color correction matrix
• gamma encoding
• yuv conversion

The code is checked against GNU C++ compiler on desktop and Android toolchain. The test harnes supports only RAW input and BMP output. The OpenCL kernels are in the kernels folder. Qualcomm OpenCl library (Linux/Android) is in folder: libs.

The pipeline performs at ~0.4 Gpix/sec (200fps of 1920x1080 / 37fps of 4016x3016)

• Download test1 (~1GB): 13.4 sec (404 frames) 1920x1080, 10bit, RCCB sensor or test2 (~138MB): ~0.3 sec (10 frames) 4016X3016, 12bit, RCCB sensor
• unzip
• run ./run.sh or run with controls ./controls.sh
• to apply noise reduction use [cmd]+ and [cmd]-

• Set ANDROID_NDK to the NDK location on your computer: export ANDROID_NDK=~/<project>/android-ndk-r9
• Set ANDROID_HOME to the SDK location: export ANDROID_HOME=~/<project>/adt-bundle-linux-x86_64-20130917/sdk
• Change AndroidManifest.xml to target the SDK you have, such as: android:targetSdkVersion="18"
• Change project.properties accordingly: target=android-18
• Do not use android update project --name Rccb --path . --target 1 because it kills some existing targets of the project in build.xml.

• To clean: ndk-build clean or ant clean
• To build the JNI: ndk-build or use ant jni.
• To install the native part of the application:make adb-install
• To do everythig at once: ant jni debug install run
• To run the OpenCL code on the platform and get the image back:make adb-run

MacbookPro : 1920x1080 12bits : 5.3ms / frame
           : 4016x3016 12bits : 24.4ms / frame 

Animal heroes. They were instrumental in the future of human space fligh.

Chewbacca is a transcription of the Russian word Собака (pronounced as Sobaka) which means Dog.

The Grand Father of Android.