DocumentCode :
2494825
Title :
A method of image quality assessment based on region of interest
Author :
Yang, Wan ; Wu, Lehua ; Fan, Ye ; Wang, Zhaolian
Author_Institution :
Key Lab. of Signal & Inf. Process., Chongqing Commun. Inst., Chongqing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6840
Lastpage :
6843
Abstract :
We apply a method of image quality assessment based on structure similarity (SSIM) to images including regions of interest (ROIs). A gradient-based SSIM model that takes the gradient as the main structural information is used among ROIs, while the classical SSIM model is followed in other regions. Then the final image quality index is evaluated after weights-taxed averaging of indexes in every region. Experimental results show that, considering the importance of ROIs sufficiently, our model is more consistent with perceived visual quality.
Keywords :
image processing; gradient-based SSIM model; image quality assessment; region of interest; structure similarity; Automation; Degradation; Humans; Image processing; Image quality; Intelligent control; PSNR; Quality assessment; Signal processing; Visual system; Image quality assessment; human visual system (HVS); region of interest (ROI); structure similarity (SSIM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593971
Filename :
4593971
Link To Document :
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