Practical YUV Raw Data Processing Implementation

This is a custom MATLAB program I developed for processing YUV raw data. The implementation begins with data separation operations to properly extract Y (luminance), U, and V (chrominance) components from the raw input. The program then performs YUV to RGB conversion using standard color space transformation algorithms, ensuring accurate color representation for display purposes. The data separation phase handles different YUV formats (like 4:2:0, 4:2:2, or 4:4:4) by implementing appropriate sampling pattern recognition and component extraction routines. The YUV to RGB conversion employs matrix transformation methods that correctly map the YUV color space to standard RGB values, incorporating gamma correction and color range normalization where necessary. Key functions include buffer management for handling large YUV files, optimized matrix operations for efficient color conversion, and error checking mechanisms to validate input data integrity throughout the processing pipeline.