Vector quantization and signal compression
Vector quantization and signal compression
Normalized partial distortion search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Image compression by self-organized Kohonen map
IEEE Transactions on Neural Networks
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Vector Quantization (VQ) is a powerful technique for image compression but its coding complexity may be an important drawback. Self-Organizing Maps (SOM) are well suited for topologically ordered codebook design. We propose to use that topology for reducing image coding time. Using inter-block correlations, the nearest neighbor search is restricted to the neighborhood of the precedingly used code vector instead of the entire codebook. We obtained a reduction of up to 84% in the coding time compared to full search.