Edge preserving vector quantization using self-organizing map based on adaptive learning
Kibum Kim, J.B. Ra · 2005
The conventional self-organizing map algorithm for vector quantization is modified to reduce the edge degradation in the reproduced image. The learning procedure is performed by a proper selection of the learning rate, which is adaptively determined according to the block activity. The simulation results of 4/spl times/4 vector quantization for 512/spl times/512 image coding show the feasibility of the proposed method.