Image compression using VQ-BTC

Vector quantization (VQ) and block truncation coding (BTC) are successful image compression techniques. However, a reproduced image using VQ or BTC suffers from edge degradation. A new technique that combines the advantages of both VQ and BTC to combat this degradation is presented and is referred t...

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Bibliographic Details
Published in:IEEE transactions on communications 1995-07, Vol.43 (7), p.2177-2182
Main Authors: Mohamed, S.A., Fahmy, M.M.
Format: Article
Language:English
Subjects:
Applied sciences
Bit rate
Decoding
Degradation
Digital images
Exact sciences and technology
Image coding
Image processing
Image storage
Information, signal and communications theory
Petroleum
Pixel
Quantization
Signal processing
Societies
Telecommunications and information theory
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Summary:Vector quantization (VQ) and block truncation coding (BTC) are successful image compression techniques. However, a reproduced image using VQ or BTC suffers from edge degradation. A new technique that combines the advantages of both VQ and BTC to combat this degradation is presented and is referred to as VQ-BTC. In VQ-BTC, a low-detail block is encoded using VQ. For a high-detail block, a modification of BTC is used to determine the locations of the relatively lighter and relatively darker pixels inside the block and VQ is then used to encode each. VQ-BTC provides improved edge reproduction and much lower bit rates than those obtained by BTC.< >
ISSN:0090-6778
1558-0857
DOI:10.1109/26.392959