Visual entropy-based classified bath fractal transform for image coding

A novel image coding method using the Visual Entropy (VE)-based classification of image blocks and Classified Bath Fractal Transform (CBFT) algorithm, VECBFT, is proposed. At first VE is introduced conceptually and the implementation of VE-based classification of image blocks is presented. Secondly, the CBFT is described generally. At last, a combination of VE and CBFT generates a new algorithm-VECBFT, which allows the decoded images to keep in good subjective quality with some improvements of compression performance. VECBFT can be an attempt to integrate HVS into some adaptive algorithm for image compression.