New algorithm for image quality measure based on wavelet transform and visual weighted processing

Yifang Ding; Wenjun Zhang

doi:10.1117/12.441523

20 September 2001 New algorithm for image quality measure based on wavelet transform and visual weighted processing

Yifang Ding, Wenjun Zhang

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441523
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Yifang Ding and Wenjun Zhang "New algorithm for image quality measure based on wavelet transform and visual weighted processing", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441523

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