Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12715
Title: A wavelet-based image quality assessment method
Authors: Lu, W
Gao, X
Tao, D
Li, X
Keywords: Human visual system
Image quality assessment
Wavelet transform
Issue Date: 2008
Publisher: World Scientific Publ Co Pte Ltd
Source: International journal of wavelets, multiresolution and information processing, 2008, v. 6, no. 4, p. 541-551 How to cite?
Journal: International Journal of Wavelets, Multiresolution and Information Processing 
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.
URI: http://hdl.handle.net/10397/12715
DOI: 10.1142/S0219691308002501
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