DocumentCode :
3651981
Title :
Blind image quality metric for blurry and noisy image
Author :
Zianou Ahmed Seghir;Fella Hachouf;Frederic Morain-Nicolier
Author_Institution :
Comput. Dept., Khenchela Univ., Khenchela, Algeria
fYear :
2013
Firstpage :
193
Lastpage :
197
Abstract :
In this paper, an objective assessment of image quality is considered. Principal human eyes function is to take out the region or edge information from the vision field. Based on this function, a new no-reference image quality measure is proposed. First, we identify the image edges using canny operator. Secondly, we compute the absolute difference mask. Then, the two operators are used to compute the entire metric. Experimental results show the efficiency of the suggested measure.
Keywords :
"Image edge detection","Image quality","PSNR","Distortion measurement","Transform coding","Logistics"
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Print_ISBN :
978-1-4673-6099-9
Type :
conf
DOI :
10.1109/ICIIP.2013.6707581
Filename :
6707581
Link To Document :
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