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Implementation of the Wavelet Transformation for Image Compression System
- Image compression can be used to reduce the size of the image before transmission it. The compressed image retains many of the original image’s features but requires less bandwidth. This paper proposes to show how to compress and uncompress a true-color image. The goal of the true compression is to minimize the length of the sequence of bits needed to represent the image, while preserving information of acceptable quality. Wavelet contributes to effective solutions for this problem. The complete chain of compression includes phases of quantization, coding and decoding in addition of the wavelet processing itself. A synthesis performance of the compression is given by the compression ratio and the Bit-Per-Pixel ratio which are equivalent. The challenge of compression methods is to find the best compromise between a weak compression ratio and a good perceptual result. The work presented in this paper involved developing an image compression system based on the wavelet transforming using Set Partitioning In Hierarchical Trees (SPIHT) coding in the MATLAB environment.
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