Description
nomacs is currently able to load RAW files from Nikon, Canon and Sony cameras. LibRaw is used for the RAW development which provides easy access to the data itself and important metadata such as the gamma coefficient. The demosaicing is currently based on the OpenCV Bayer pattern interpolation which is a fast, but simple method. No color correction, etc. is done at the moment as further steps. The student should investigate an improved raw loader, comprising a demosaicing method that reduces noise, color correction, etc.
Benefit for the Student
The student will gain experience in state-of-the-art demosaicing algorithms and computer vision. Moreover, basic knowledge of image processing libraries such as LibRaw or OpenCV will be developed.
Benefit for the Project
The RAW loader of nomacs will be improved which results in a more satisfying visual appearance of RAW images.
Requirements
Good skills in object-oriented C++ are required accompanied by basic experience in computer vision. Qt or OpenCV knowledge would be beneficial.
Mentors
Contact
Send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. (first subscribe here) using the prefix [nomacs].
More Information
Additional details can be found on the nomacs webpage. You may also improve your chances of being selected by solving the puzzle.