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Low bitrate image compression using self-organized Kohonen maps | IEEE Conference Publication | IEEE Xplore

Low bitrate image compression using self-organized Kohonen maps


Abstract:

In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coeffici...Show More

Abstract:

In this paper, we propose a new image compression algorithm based on Kohonen self-organized maps. The compression is based on vector quantization (VQ) of the DCT coefficients of image blocks, where the VQ is implemented by a Kohonen network. At low bitrates, our proposed method performs better than an earlier compression scheme developed by Amerijckx et al. (1998) and shows better subjective results in comparison to JPEG.
Date of Conference: 14-17 September 2003
Date Added to IEEE Xplore: 24 November 2003
Print ISBN:0-7803-7750-8
Print ISSN: 1522-4880
Conference Location: Barcelona, Spain

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