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Abstract : |
Abstract?This paper presents a compression scheme for digital still images, by using the Kohonen?s neural network algorithm, not only for its vector quantization feature, but also for its topological property. This property allows an increase of about 80 % for the compression rate. Compared to the JPEG standard, this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. Index Terms?Discrete cosine transforms, entropy coder, image processing, JPEG, self-organizing feature maps, variable length codes, vector quantization. I., |
