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Lecture
The JPEG Compression Algorithm
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Related lectures (28)
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Entropy and Data Compression: Huffman Coding Techniques
Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.
Data Compression and Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.
Conditional Entropy: Huffman Coding
Explores conditional entropy and Huffman coding for efficient data compression techniques.
Entropy and Algorithms: Applications in Sorting and Weighing
Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.
Fragile Camera Fingerprints
Discusses Fragile Camera Fingerprints, their security, implementation, and testing for digital image forensics.
Stochastic Processes: Sequences and Compression
Explores compression in stochastic processes through injective codes and prefix-free codes.
Data Compression and Shannon's Theorem: Shannon-Fano Coding
Explores Shannon-Fano coding for efficient data compression and its comparison to Huffman coding.
Data Compression: Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.
Compression: Prediction
Covers the concepts of compression and prediction using prefix-free codes and distributions.
Shannon's Theorem
Introduces Shannon's Theorem on binary codes, entropy, and data compression limits.
