JPEG MATLAB Toolbox: Implementation of JPEG Encoding and Decoding

JPEG MATLAB Toolbox: JPEG encoding and decoding implementation in MATLAB for experimental use

In this experiment, we utilize the JPEG MATLAB toolbox to implement JPEG image encoding and decoding. JPEG is a widely-used image compression algorithm that operates by dividing images into blocks, applying Discrete Cosine Transform (DCT) to each block, quantizing the transform coefficients using quantization tables, and finally encoding the quantized coefficients through entropy coding. Our MATLAB implementation will demonstrate the complete workflow including key functions such as dct2() for transformation, quantization matrix operations, and Huffman coding procedures. We will conduct a series of tests to validate the algorithm's effectiveness and performance metrics, including compression ratio analysis and image quality assessment using PSNR calculations. The code structure will clearly separate each processing stage: block processing, DCT transformation, quantization, and entropy coding, providing a comprehensive understanding of JPEG compression mechanics.