Bayer to RGB Format Conversion MATLAB Program
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This document explores the methodology for converting Bayer pattern images to RGB format using MATLAB. The implementation involves reading input images and processing individual pixels to reconstruct proper RGB values. Key algorithmic considerations include bilinear interpolation or more advanced demosaicing techniques to handle the Bayer pattern arrangement (such as RGGB, BGGR, or other variations). The program must address image artifacts and noise reduction through median filtering or edge-aware interpolation methods. Performance optimization strategies involve vectorization of pixel operations, pre-allocation of output arrays, and potentially utilizing parallel processing for large datasets. The discussion covers practical MATLAB functions like imread for image input, custom demosaicing algorithms for color reconstruction, and imwrite for output generation. Additional focus is placed on evaluating conversion quality using metrics like PSNR and implementing color correction matrices for accurate color reproduction.
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