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Fast Camera Image Processing Pipeline for Mobile

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Fast Camera Raw Image Processing Pipeline for Mobile
====================================================

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)

Run on MacOSX
------------
- Download [test1](https://drive.google.com/file/d/0B35hwJjfAV_OTS1rR2N2UVFES0E/view?usp=sharing) (~1GB): `13.4 sec (404 frames) 1920x1080, 10bit, RCCB sensor`  or [test2](https://drive.google.com/file/d/0B35hwJjfAV_OSXRnWERwbDFKbk0/view?usp=sharing) (~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]-`

Run on Android
--------------
#### OpenCL on Android
 - [ ] 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`.

#### Buiding and deploying
---------------------
* 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`

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

Noise reduction
-----------
[![Original](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/screen.png)](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/screen.png) 
[![Denoised](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/denoised_screen.png)](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/denoised_screen.png)
[![Original](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/label.png)](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/label.png) 
[![Denoised](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/denoised_label.png)](https://raw.githubusercontent.com/ab2005/Belka/master/benchmarks/denoised_label.png)

Links
-----
#### Belka and Strelka
[![Belka and Strelka](http://sovieteramuseum.com/wp-content/uploads/2012/08/belka-strelka-2.jpg)](https://www.youtube.com/watch?v=u4SUH9qITxE "Белка и Стрелка")

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

#### Chewbacca
[![Chewbacca](https://habrastorage.org/files/02c/84c/41a/02c84c41a7c945438085ecbdc2945aa9.jpg "В фильме «Марс» с космонавтами на планету высаживается и отважный пес, в честь которого свое имя получил Чубака – это транскрипция русского слова «собака». ")](https://youtu.be/-4hssVGcoLs?t=44m17s)

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

#### R2-D2
[![Android](https://habrastorage.org/files/985/14e/3b4/98514e3b43ec48249faf6d50ab6c5aec.jpg " The Android Grandfather")](https://youtu.be/9gTs1OL1jrQ?t=30m47s)

The Grand Father of Android.

Belka

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