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Image compression using VQ-BTC

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2 Author(s)
Mohamed, S.A. ; Dept. of Electr. Eng., Queen''s Univ., Kingston, Ont., Canada ; Fahmy, M.

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

Published in:

Communications, IEEE Transactions on  (Volume:43 ,  Issue: 7 )