Lossless image compression in vector transform and vector subband domains
Asaf Sofu
Abstract
Asaf Sofu
Abstract
Lossless compression algorithms are utili-t9 in image and video compression systems such as JPEG and MPEG. Three lossless compression algorithms, Huffman, Adaptive Huffman and Lempel-Zjv-Welch codjng are djscussed and analyzed to understand which one is the most efficient and convenient lossless compression scheme for vector transform and vector subband coding algorithms. After a general overview of each of the algorithms, the compression performance of the lossless algorithms and the overall lossy system are compared and analyzed. To achieve the best compression possible, the coding algorithms and the source are modified. The maximum available lossless compression with these techniques are studied and analyzed.
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Lossless compression algorithms are utili-t9 in image and video compression systems such as JPEG and MPEG. Three lossless compression algorithms, Huffman, Adaptive Huffman and Lempel-Zjv-Welch codjng are djscussed and analyzed to understand which one is the most efficient and convenient lossless compression scheme for vector transform and vector subband coding algorithms. After a general overview of each of the algorithms, the compression performance of the lossless algorithms and the overall lossy system are compared and analyzed. To achieve the best compression possible, the coding algorithms and the source are modified. The maximum available lossless compression with these techniques are studied and analyzed.
Key concepts: Lossless compression, Lossy compression, Lossless JPEG, Data compression, Huffman coding, Image compression, Computer science, Adaptive coding