MATLAB Image Processing Program Using DCT (Discrete Cosine Transform)

This is a MATLAB image processing program shared for technical exchange, focusing on DCT (Discrete Cosine Transform). DCT is a fundamental image processing technique widely used for image compression, feature extraction, and transformation applications. The program demonstrates DCT principles through practical implementations including: - Core algorithm implementation using MATLAB's built-in dct2() function for 2D discrete cosine transforms - Image preprocessing techniques including block partitioning and normalization - Quantization matrix applications for compression simulation - Inverse DCT (IDCT) reconstruction using idct2() function We provide comprehensive sample code with detailed comments covering transformation workflow, coefficient analysis, and visual result comparisons. The implementation showcases key concepts such as energy compaction in frequency domain and compression artifact analysis. This program serves as an educational resource for understanding DCT applications in digital image processing, encouraging discussion and knowledge sharing among developers and researchers.