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

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

898

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566233

Filename

566233