A wavelet-based image quality assessment method

Lu, W; Gao, X; Tao, D; Li, X

A wavelet-based image quality assessment method

Lu, W Gao, X Tao, D

Li, X

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Publication Type:: Journal Article
Citation:: International Journal of Wavelets, Multiresolution and Information Processing, 2008, 6 (4), pp. 541 - 551
Issue Date:: 2008-07-01

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Field	Value	Language
dc.contributor.author	Lu, W	en_US
dc.contributor.author	Gao, X	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, X	en_US
dc.date.issued	2008-07-01	en_US
dc.identifier.citation	International Journal of Wavelets, Multiresolution and Information Processing, 2008, 6 (4), pp. 541 - 551	en_US
dc.identifier.issn	0219-6913	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15126
dc.description.abstract	Image quality is a key characteristic in image processing, 10,11 image retrieval, 12,13 and biometrics. 14 In this paper, a novel reduced-reference image quality assessment method is proposed based on wavelet transform. By simulating the human visual system, we take the variance of the visual sensitive coefficients into account to measure a distorted image. The computational complexity of the proposed method is much lower compared with some existing methods. Experimental results demonstrate its advantages in terms of correlation coefficient, outlier ratio, transmitted information, and CPU cost. Moreover, it is also illustrated that the proposed method has a good accordance with human subjective perception. © World Scientific Publishing Company.	en_US
dc.relation.ispartof	International Journal of Wavelets, Multiresolution and Information Processing	en_US
dc.relation.isbasedon	10.1142/S0219691308002501	en_US
dc.subject.classification	Numerical & Computational Mathematics	en_US
dc.title	A wavelet-based image quality assessment method	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	6	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	6	en_US

Abstract:

Image quality is a key characteristic in image processing, 10,11 image retrieval, 12,13 and biometrics. 14 In this paper, a novel reduced-reference image quality assessment method is proposed based on wavelet transform. By simulating the human visual system, we take the variance of the visual sensitive coefficients into account to measure a distorted image. The computational complexity of the proposed method is much lower compared with some existing methods. Experimental results demonstrate its advantages in terms of correlation coefficient, outlier ratio, transmitted information, and CPU cost. Moreover, it is also illustrated that the proposed method has a good accordance with human subjective perception. © World Scientific Publishing Company.

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http://hdl.handle.net/10453/15126