Title :
Visual entropy-based classified bath fractal transform for image coding
Author :
Guoliang, Fan ; Lihua, Zhou
Author_Institution :
Dept. of Comput. Eng., Xidian Univ., Xi´´an, China
Abstract :
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 the VE is introduced conceptually and the implementation of VE-based classification of image blocks is presented. Secondly, the CBFT is described generally. Finally, a combination of the VE and CBFT generates a new algorithm-VECBFT, which allows the decoded images to keep a good subjective quality with some improvements of the compression performance. The VECBFT can be an attempt to integrate human visual system (HVS) into an adaptive algorithm for image compression
Keywords :
data compression; decoding; entropy codes; fractals; image classification; image coding; image segmentation; image texture; transform coding; visual perception; HVS; VECBFT algorithm; adaptive algorithm; classified bath fractal transform; classified bath fractal transform algorithm; compression performance; decoded image subjective quality; human visual system; image blocks; image classification; image coding; image compression; image regions; image texture; random texture; visual entropy based classification; Adaptive algorithm; Algorithm design and analysis; Decoding; Entropy; Fractals; Frequency; Humans; Image analysis; Image coding; Information analysis;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566233
