DocumentCode
3040906
Title
Image Quality Assessment Based on Regional Mutual Information
Author
Li, Jing ; Zhang, Xuming ; Ding, Mingyue
Author_Institution
Sch. of Life Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
14-17 Dec. 2011
Firstpage
113
Lastpage
115
Abstract
Image quality assessment is a hot topic in image processing and can be applied to evaluate the image processing methods and the performance of imaging system. In this paper, a new method of regional mutual information is proposed to assess image quality. Furthermore, this algorithm is compared with peak of signal-to-noise ratio (PSNR) and structure similarity (SSIM) that are universal assessment methods. Experimental comparisons demonstrate the effectiveness of this new method in image quality assessment.
Keywords
image processing; image processing; image quality assessment; imaging system; regional mutual information; signal-to-noise ratio; structure similarity; universal assessment method; Databases; Image quality; Imaging; Mutual information; Nonlinear distortion; PSNR; Quality assessment; Image quality assessment; PSNR; SSIM; mutual information;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4577-1152-7
Type
conf
DOI
10.1109/ICBMI.2011.65
Filename
6131717
Link To Document