yuv2mov: Reading YUV Format Video Files

YUV is a common color encoding format widely used in video processing and compression. When working with YUV files in MATLAB, it's often necessary to convert them into structured data for easier manipulation or to save processed data back to YUV format. The yuv2mov function reads YUV files and converts them into MATLAB structure data. The function implementation typically begins by parsing the YUV file header information (such as resolution, frame rate), then extracts Y, U, and V component data frame by frame, organizing them into a format suitable for MATLAB processing. Key implementation steps include: calculating frame dimensions based on chroma subsampling (commonly 4:2:0), separating luminance and chrominance components using matrix indexing operations, and reshaping data into proper frame structures. The converted data contains luminance and chrominance information for each frame, facilitating subsequent video analysis, filtering, or other processing operations. Conversely, the mov2yuv function re-encodes MATLAB video data into YUV format files. This function accepts structured video data, rearranges pixel data according to YUV specifications, and writes it to file. The encoding process involves: converting RGB to YUV color space if needed, applying proper chroma subsampling, and writing data in the correct byte order (typically Y plane followed by U and V planes). This process is commonly used for exporting processed videos to formats compatible with hardware or other video processing tools. These two functions are highly practical in video processing workflows, enabling developers to efficiently read, process, and export YUV files within the MATLAB environment. The functions support various YUV formats through configurable parameters for resolution, chroma subsampling scheme, and bit depth.