DocumentCode :
2706682
Title :
A partial differential equation algorithm for image enhancement
Author :
Fu, Yanan ; Yan, Tingfang ; Zhang, David W. ; Meng, Max Q -H
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
606
Lastpage :
610
Abstract :
A novel approach for image enhancement is presented in this paper. The enhancement result is achieved by combination the means of contrast enhancement, image smoothing and image sharpening techniques into one partial differential equation (PDE) framework. In the image evolution process, three kinds of operation execute at the same time, using the regularization parameters to adjust the proportion of each operation in the evolution process, ultimately achieve the desired results. The simulations for both gray and color images are given in the experiments. Experimental results demonstrate that the method substantially improves the subjective quality of the enhanced images.
Keywords :
image colour analysis; image enhancement; partial differential equations; PDE framework; color images; contrast enhancement; gray images; image enhancement; image evolution process; image sharpening techniques; image smoothing; partial differential equation algorithm; regularization parameters; Equations; Image edge detection; Image enhancement; Mathematical model; Noise; Smoothing methods; PDE; contrast enhancement; image enhancement; image sharpening; image smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246885
Filename :
6246885
Link To Document :
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