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What is EZW and Huffman for Image Compression about?

This paper proposes combining Embedded Zerotree Wavelet (EZW) encoding with Huffman encoding to compress still images. EZW encoding exploits the self-similarity inherent in wavelet-transformed images to progressively encode coefficients from low to high frequency subbands. Significant coefficients are identified and encoded using Huffman coding, which assigns shorter bit codes to more common coefficients. The technique was tested on images decomposed into 8 levels, evaluating compression ratio and quality f

Author

samueljamespeter

Language

EN