A SYSTEM FOR IMAGE COMPRESSION USING WAVELETS AND GENETIC PROGRAMMING
In more recent studies, Genetic Programming has been shown to be useful when used in Image Compression. The major idea is to evolve a set of genetic programs which will output the image, and therefore storing references to this set of programs is needed for decompression. Eventually, it would be possible to find a large set of programs which can be parameterized and used to approximate all possible images. This paper builds upon previous work done in the spatial domain, and instead uses the Discrete Wavelet Packet Transform to simplify the image, and provide better quality levels at better compression ratios. Additionally, quantizing the image in the wavelet domain allows for easier evolution of genetic programs without sacrificing much in terms of image quality. This paper shows with compression ratios of up to 22:1 that genetic programming in the wavelet domain is indeed a feasible method of Image Compression.
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