Three MATLAB Functions for Bidirectional Operations Between YUV Sequences and BMP Images

This toolkit provides three MATLAB m-files for bidirectional operations between YUV sequences and BMP images. The yuv2bmp function implements frame extraction from YUV video sequences by parsing YUV frames (typically in YUV420 format) and converting each frame to BMP format using color space transformation algorithms. The bmp2yuv function composites multiple BMP images into a YUV sequence through reverse-order processing - when selecting multiple BMP images, users must choose them in reverse chronological order to maintain proper temporal sequencing. The yuvcut function enables precise segment extraction from YUV sequences by implementing frame index-based cutting with proper header and metadata handling. This practical toolkit facilitates efficient conversion between YUV sequences and BMP images through three specialized m-files: yuv2bmp, bmp2yuv, and yuvcut. The yuv2bmp function is particularly useful for frame-by-frame analysis scenarios, as it decomposes YUV sequences into individual BMP frames using YUV-to-RGB conversion algorithms. The bmp2yuv function employs frame composition techniques to merge BMP images into YUV sequences, requiring reverse-order selection to ensure correct temporal alignment. The yuvcut function implements segment extraction algorithms that allow users to isolate specific portions of YUV sequences for targeted processing and analysis. By utilizing this toolkit, users can achieve flexible and efficient processing of conversions between YUV sequences and BMP images, significantly enhancing workflow efficiency for video processing research and applications. The implementation includes robust error handling and supports standard YUV formats with configurable resolution parameters.