Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.
Explores the Source Coding Theorem, entropy, Huffman coding, and conditioning's impact on entropy reduction.
Covers entropy, source coding, encoding maps, decodability, prefix-free codes, and Kraft-McMillan's inequality.
Discusses Fragile Camera Fingerprints, their security, implementation, and testing for digital image forensics.
Covers the concepts of compression and prediction using prefix-free codes and distributions.
Introduces Shannon's Theorem on binary codes, entropy, and data compression limits.
