Change Details

Please complete this task as part of your GSoC 2018 application when applying for matching tasks/ideas. This challenge is mandatory if you apply for T720, T763, T951 or T722. --- The goal is to build a small application which decodes a buffer with raw image data from the AXIOM Beta and converts it using the [LodePNG library](http://lodev.org/lodepng/) to create a viewable PNG image. # Create a simple C/C++ console application using the development environment of your choice # Add lodepng.c/cpp and lodepng.h from the [LodePNG website](http://lodev.org/lodepng/) to your project / Makefile / whatever you use # Read image data from a RAW12 file (sample file: [portrait-gainx2-offset2047-20ms-02.raw12](http://files.apertus.org/AXIOM-Beta/snapshots/portraits/portrait-gainx2-offset2047-20ms-02.raw12), 4096x3072, 12bit, color sensor with bayer color filter array) # Save one of the Bayer color channels (red, green1, green2 or blue) as a grayscale 8-bit PNG (2048x1536 Resolution) using the LodePNG library. This PNG should be view-able/compatible with any image-viewer that can display PNG. Optional: # Bonus points if your application runs on the [AXIOM Beta firmware in QEMU](https://github.com/apertus-open-source-cinema/axiom-beta-qemu). # Bonus points if you use an existing debayering method to recover a color image. **Collected information:** - RAW12: https://wiki.apertus.org/index.php/RAW12 - Bayer Pattern: https://en.wikipedia.org/wiki/Bayer_filter - 12bit conversion: https://stackoverflow.com/questions/33768206/convert-2-bytes-into-12-bit-number - 12bit conversion (SIMD not required): https://stackoverflow.com/questions/15443868/fastest-way-to-convert-12bit-image-to-16bit-image - [Processing RAW images in MATLAB](https://rcsumner.net/raw_guide/RAWguide.pdf) (useful as overview; we are not asking for color-correct output) - Debayering: https://en.wikipedia.org/wiki/Demosaicing **GSoC 2018 applicant code for review:** **Note:** Using or improving upon existing code is permitted but, in the event that code authored by someone else is used, the code's original author must be credited. - @TofuLynx: https://github.com/TofuLynx/apertus-CppChallenge - @supragyaraj: https://github.com/supragya/PiNG12RAW - @nmdis1999: https://github.com/nmdis1999/Apertus-Qualification-Challenge - @pranabendra1997: https://github.com/pranabendra/T782--C-Cpp-Challenge - @simon: https://github.com/Symon97x/GoogleSummerOfCode.git - @pv.anirudh: https://github.com/AnirudhPuligandla/ApertusChallenge To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]].

Please complete this task as part of your GSoC 2018 application when applying for matching tasks/ideas. This challenge is mandatory if you apply for T763. --- 1. Write a C/CPP program for loading a RAW12 image (link here) into the memory - separate the 4 channels (in memory - 8 bits). Output the intensity values of the first 5x5 (square tile) R, G, G, B channels. 2. Save the channels (separately) as valid image files (8 bits per pixel) named appropriately without use of any external libraries (e.g. openJPG/lodePNG). (Hint: PPM file format). 3. Debayer the CFA data (in memory using nearest neighbour / bilinear) - output the image as a valid image file (8-bit, without use of any external library). Additional task (for frame server project): 4. Save the debayered RGB image as a BMP file format (without use of any external libraries) Additional points (if you do one / some / all of the following): 1. Use cmake for building the C/CPP program 2. Abide by the C/CPP coding guidelines (link to be given here) 3. If you can load part of your program as a dynamic library (.so file) **Collected information:** - RAW12: https://wiki.apertus.org/index.php/RAW12 - Bayer Pattern: https://en.wikipedia.org/wiki/Bayer_filter - 12bit conversion: https://stackoverflow.com/questions/33768206/convert-2-bytes-into-12-bit-number - 12bit conversion (SIMD not required): https://stackoverflow.com/questions/15443868/fastest-way-to-convert-12bit-image-to-16bit-image - [Processing RAW images in MATLAB](https://rcsumner.net/raw_guide/RAWguide.pdf) (useful as overview; we are not asking for color-correct output) - Debayering: https://en.wikipedia.org/wiki/Demosaicing **GSoC 2018 applicant code for review:** **Note:** Using or improving upon existing code is permitted but, in the event that code authored by someone else is used, the code's original author must be credited. To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]].

Please complete this task as part of your GSoC 2018 application when applying for matching tasks/ideas. This challenge is mandatory if you apply for T720, T763, T951 or T722T763. --- The goal is to build a small application which decodes a buffer with raw image data from the AXIOM Beta and converts it using the [LodePNG library](http://lodev.org/lodepng/) to create a viewable PNG image. # Create a simple C/C++ console application using the development environment of your choice1. Write a C/CPP program for loading a RAW12 image (link here) into the memory - separate the 4 channels (in memory - 8 bits). Output the intensity values of the first 5x5 (square tile) R, G, G, B channels. 2. Save the channels (separately) as valid image files (8 bits per pixel) named appropriately without use of any external libraries (e.g. openJPG/lodePNG). (Hint: PPM file format). # Add lodepng.c/cpp and lodepng.h from the [LodePNG website](http://lodev.org/lodepng/) to your project / Makefile / whatever you use # Read image data from a RAW12 file (sample file: [portrait-gainx2-offset2047-20ms-02.raw12](http://files.apertus.org/AXIOM-Beta/snapshots/portraits/portrait-gainx2-offset2047-20ms-02.raw12),3. 4096x3072Debayer the CFA data (in memory using nearest neighbour / bilinear) - output the image as a valid image file (8-bit, 12bit, color sensor with bayer colwithout use of any external library). Additional task (for filter array)rame server project): # Save one of the Bayer color channels (red, green1, green2 or blue) as a grayscale 8-bit PNG (2048x1536 Resolution) using the LodePNG library4. This PNG should be view-able/compatible Save the debayered RGB image as a BMP file format (with any image-viewer that can display PNG.out use of any external libraries) Optional:Additional points (if you do one / some / all of the following): 1. Use cmake for building the C/CPP program # Bonus points if your application runs on the [AXIOM Beta firmware in QEMU](https://github.com/apertus-open-source-cinema/axiom-beta-qemu).2. Abide by the C/CPP coding guidelines (link to be given here) # Bonus points i3. If you use an existing debayering method to recover a color image.can load part of your program as a dynamic library (.so file) **Collected information:** - RAW12: https://wiki.apertus.org/index.php/RAW12 - Bayer Pattern: https://en.wikipedia.org/wiki/Bayer_filter - 12bit conversion: https://stackoverflow.com/questions/33768206/convert-2-bytes-into-12-bit-number - 12bit conversion (SIMD not required): https://stackoverflow.com/questions/15443868/fastest-way-to-convert-12bit-image-to-16bit-image - [Processing RAW images in MATLAB](https://rcsumner.net/raw_guide/RAWguide.pdf) (useful as overview; we are not asking for color-correct output) - Debayering: https://en.wikipedia.org/wiki/Demosaicing **GSoC 2018 applicant code for review:** **Note:** Using or improving upon existing code is permitted but, in the event that code authored by someone else is used, the code's original author must be credited. - @TofuLynx: https://github.com/TofuLynx/apertus-CppChallenge - @supragyaraj: https://github.com/supragya/PiNG12RAW - @nmdis1999: https://github.com/nmdis1999/Apertus-Qualification-Challenge - @pranabendra1997: https://github.com/pranabendra/T782--C-Cpp-Challenge - @simon: https://github.com/Symon97x/GoogleSummerOfCode.git - @pv.anirudh: https://github.com/AnirudhPuligandla/ApertusChallenge To get in touch with any mentor check the [[ https://www.apertus.org/GSoC-2019-Mentor-Contact-List | Mentor Contact List]].