Complexity Reduction and Quality Enhancement in Image Coding

In this paper we propose an image codingapproach based on Alternative Fuzzy c-Means. Our mainobjective is to provide an immediate access to targeted featuresof interest in a high quality decoded image. This technique isuseful for intelligent devices, as well as for multimediacontent-based description standards. The use of AFcM reducesthe coding time in comparison to the traditional clusteringalgorithm FcM. A second stage coding is applied using entropycoding to remove the whole image entropy redundancy. In thedecoding phase, we suggest the application of a nonlinearanisotropic diffusion, based on Perona-Malik equation, toenhance the quality of the coded image. Qualitative evaluationconfirms the validity of the proposed approach.