MATLAB Source Code Implementation for YUV to JPEG Conversion

Implementing YUV to JPEG image conversion in MATLAB requires a thorough understanding of YUV format storage methods and color space conversion. YUV files are typically stored as binary streams containing sequential frame data for Y (luminance), U, and V (chrominance) components. For common 4:2:0 format, chrominance components undergo downsampling, with storage order featuring full-resolution Y plane followed by U and V planes each at 1/4 of Y's resolution. The implementation process consists of four main steps: First, use file operations to read binary data, carefully calculating data size per frame based on video resolution parameters. Second, separate YUV components and reconstruct complete frames, requiring upsampling of chrominance components to match luminance resolution using interpolation methods. Third, convert YUV to RGB color space using MATLAB's ycbcr2rgb function, which implements the standard color transformation matrix. Finally, save the RGB matrix as JPEG image using imwrite function with appropriate quality parameters. For batch processing, the code can be extended to automatically process all frames and generate image sequences. Important considerations include handling various YUV sub-formats (like NV12/YV12) by correctly identifying sampling arrangement patterns. Performance optimization techniques include pre-allocating memory for output arrays and avoiding redundant resolution parameter calculations within loops. This solution provides flexibility to adapt to different YUV variant formats through configurable sampling pattern parameters.