Color image compression using wavelet transform



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Texas Tech University


C language coding of image compression algorithms can be a difficult and tedious task. Image compression methods are usually composed of many stages of cascaded algorithms. Each algorithm may be developed independently. This thesis will address the problem of interfacing new image compression algorithms with older and established algorithms such as entropy coding and the discrete wavelet transform. The thesis will describe ANSI C coding procedures and functions involved in implementing two entrop
coding algorithms including Huffman coding and arithmetic coding. Wavelet theory will be discussed as it applies to the discrete wavelet transform. The thesis will also describe an ANSI C coding implementation of one of the newest wavelet coefficient coding techniques, embedded zerotree wavelets (EZW) developed by Jerome Shapiro. The EZW compression performance will be compared with JPEG which is the standard adapted currently for still images by the Joint Photographic Experts Group.