DocumentCode :
2812663
Title :
No-reference image sharpness assessment based on local phase coherence measurement
Author :
Hassen, Rania ; Wang, Zhou ; Salama, Magdy
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
2434
Lastpage :
2437
Abstract :
Sharpness is one of the most determining factors in the perceptual assessment of image quality. Objective image sharpness measures may play important roles in the design and optimization of visual perception-based auto-focus systems and image enhancement, restoration and compression algorithms. Here we propose a new sharpness measure where sharpness is identified as strong local phase coherence evaluated in the complex wavelet transform domain. Our test using the LIVE blur database shows that the proposed algorithm correlates well with subjective quality evaluations. An additional advantage of our approach is that other image distortions such as compression, median filtering and noise contamination that may affect perceptual sharpness can also be detected.
Keywords :
image enhancement; image restoration; optimisation; visual perception; wavelet transforms; LIVE blur database; complex wavelet transform domain; image compression; image distortions; image enhancement; image quality; image restoration; image sharpness assessment; local phase coherence measurement; objective image sharpness; optimization; perceptual assessment; visual perception-based auto-focus systems; Algorithm design and analysis; Coherence; Compression algorithms; Design optimization; Distortion measurement; Image enhancement; Image quality; Image restoration; Phase measurement; Pollution measurement; complex wavelet transform; image blur; image sharpness; local phase coherence; no-reference image quality assessment; perceptual image quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5496297
Filename :
5496297
Link To Document :
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