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Proceedings Paper

New algorithm for image quality measure based on wavelet transform and visual weighted processing
Author(s): Yifang Ding; Wenjun Zhang
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Paper Abstract

This paper discusses a new algorithm for objective image quality measure. Due to the similarities of discrete wavelet transform (DWT) with the human visual system (HVS), it is possible to take advantage of this nice characteristic to have visual weighted processing to the peak mean square error (PMSE) criterion. Finally, we propose the new algorithm, wavelet and weighted mean square error (WWMSE). Comparing with the PMSE criterion, the new algorithm shows high accordance with image actual perception quality, and overcome the defects of PSME criterion effectively.

Paper Details

Date Published: 20 September 2001
PDF: 12 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441523
Show Author Affiliations
Yifang Ding, Shanghai Univ. (China)
Wenjun Zhang, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis
Bir Bhanu; Jun Shen; Tianxu Zhang, Editor(s)

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