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Proceedings Paper

Improvement of image-compression quality via block classification and coefficient diffusion
Author(s): Kuo-Chin Fan; Juo-Chien Chang; Kou-Sou Kan
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Paper Abstract

Image compression techniques have been widespreadly used in abundant of applications. In the consideration of image quality and compression ratio, an efficient compression technique is expected. Transform coding is known to be generally superior. In this paper, we will present a novel method based on adaptive classification and coefficient diffusion techniques to improve image compression quality while maintaining compression ratio. Experiments are conducted on a wide variety of images. Experimental results reveal that both of the image quality and the compression ratio are retained by applying the proposed method.

Paper Details

Date Published: 21 April 1995
PDF: 10 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206708
Show Author Affiliations
Kuo-Chin Fan, National Central Univ. (Taiwan)
Juo-Chien Chang, National Central Univ. (Taiwan)
Kou-Sou Kan, National Central Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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