Vector quantization (VQ) has been extensively applied in image coding systems due to its high compression rate and simple decoder. A new algorithm of VQ based on minimum mean absolute error (MMAE) which is suitable fo...
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ISBN:
(纸本)7543909405
Vector quantization (VQ) has been extensively applied in image coding systems due to its high compression rate and simple decoder. A new algorithm of VQ based on minimum mean absolute error (MMAE) which is suitable for VLSI implementation is proposed in this paper. In the proposed algorithm, a criterion based on sum inequality of distortion measure, the presorted codebook, the nearest neighbors searching algorithm and a dichotomy searching method have been used. All of these methods result in a considerable reduction in the complexity of VLSI implementation.
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