DocumentCode :
509513
Title :
Digital Images Clarity Quality Evaluation Using Non-subsampled Contourlet Transform
Author :
Li, Yi ; Liu, Guanzhong
Author_Institution :
Sch. of Bus. & Sch. of Art, Central South Univ., Changsha, China
Volume :
1
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
318
Lastpage :
321
Abstract :
Nowadays, more and more digital images are used in industrial design field. The tools for digital images quality evaluation are needed to select good images. In this paper, we propose one clarity quality metric using the non-subsampled contourlet transform. The proposed metric is based on the high frequency and low frequency coefficients with the non-subsampled contourlet transform. Experimental results on many industrial design images show that the proposed metric can evaluate the clarity quality effectively.
Keywords :
Laplace transforms; image processing; clarity quality metric; image clarity; nonsubsampled contourlet transform; Art; Computational intelligence; Digital cameras; Digital images; Filter bank; Frequency; Image quality; Image storage; Low pass filters; Noise measurement; image clarity; non-subsampled contourlet transform; quality evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
Type :
conf
DOI :
10.1109/ISCID.2009.87
Filename :
5370888
Link To Document :
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