Competitive learning/reflected residual vector quantization for coding angiogram images
Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. RRVQ, which is a lossy compression scheme, was introduced as...
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| Other Authors: | , , |
| Format: | article |
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2003
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14084/1/14084_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14084/2/14084_2.doc |
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