MATLAB Algorithm for Image Compression: JPEG Implementation

Image compression is a fundamental technique in digital image processing, where JPEG (Joint Photographic Experts Group) represents a widely adopted MATLAB algorithm implementation. This algorithm significantly reduces image file sizes while maintaining acceptable visual quality, thereby enhancing storage efficiency and transmission performance. The MATLAB implementation typically involves several key stages: color space conversion (RGB to YCbCr), discrete cosine transform (DCT) computation, quantization matrix application, and entropy coding (Huffman encoding). For those interested in image processing algorithms, I recommend downloading and studying this implementation. The code demonstrates practical applications of DCT-based compression techniques and quantization table optimization. This resource may prove highly beneficial for understanding core compression methodologies. Should you have any technical questions regarding the algorithm implementation or specific MATLAB functions used, please feel free to inquire.