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• W1770347137 abstract "We propose a stable and robust vector quantization coding scheme for image compression known as circular self organization feature map (CSOM) by introducing circular structure to a basic codebook. This structure enables the self organization feature map (SOM) method to converge faster, and to learn input vectors more efficiently. The results suggest that CSOM gains approximately 30% speedup in computation time and 0.3 dB in the PSNR compared to the conventional SOM algorithm. In addition, robustness for initial state of a codebook is achieved by CSOM." @default.
• W1770347137 created "2016-06-24" @default.
• W1770347137 creator A5075293925 @default.
• W1770347137 date "2002-11-13" @default.
• W1770347137 modified "2023-09-26" @default.
• W1770347137 title "Vector quantization for image compression using circular structured self-organization feature map" @default.
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• W1770347137 doi "https://doi.org/10.1109/icip.2001.958523" @default.
• W1770347137 hasPublicationYear "2002" @default.
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