Visual entropy-based classified bath fractal transform for image coding
Visual entropy-based classified bath fractal transform for image coding
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DOI：
10.1109/icsigp.1996.566233
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发表时间：
1996-10
期刊：
影响因子：
--
通讯作者：
G. Fan;Lihua Zhou
中科院分区：
文献类型：
--
作者：
G. Fan;Lihua Zhou
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.
