Efficient greyscale image compression technique based on vector quantization |
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Authors: | Y C Hu J C Chuang C C Lo C Y Li |
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Institution: | 1.Department of Computer Science and Information Management,Providence University,Taichung, Taiwan,R.O.C.;2.Department of Computer Science and Communication Engineering,Providence University,Taichung, Taiwan,R.O.C.;3.Department of Computer Science and Information Engineering,Providence University,Taichung, Taiwan,R.O.C. |
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Abstract: | In this paper, a novel greyscale image coding technique based on vector quantization (VQ) is proposed. In VQ, the reconstructed
image quality is restricted by the codebook used in the image encoding/decoding procedures. To provide a better image quality
using a fixed-sized codebook, the codebook expansion technique is introduced in the proposed technique. In addition, the block
prediction technique and the relatively address technique are employed to cut down the required storage cost of the compressed
codes. From the results, it is shown that the proposed technique adaptively provides better image quality at low bit rates
than VQ. |
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Keywords: | |
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