MATLAB Implementation of Image Compression Using DCT Transformation

This MATLAB implementation demonstrates image compression using Discrete Cosine Transform (DCT). The complete code package includes detailed procedural explanations and test images. The implementation follows a systematic approach: first applying DCT transformation to the input image, then processing DCT coefficients using specific compression algorithms, and finally reconstructing the image through inverse DCT transformation. Key implementation aspects include: - DCT coefficient quantization techniques for compression efficiency - Threshold-based coefficient selection methods - Block processing implementation for handling image segments - MATLAB functions like dct2() and idct2() for transformation operations This experiment provides deep insights into image compression principles and processes, while offering practical experience in MATLAB-based image processing and programming. The code demonstrates how to balance compression ratios with image quality through parameter adjustments. We hope this implementation serves as a valuable resource for understanding digital image compression techniques!