DocumentCode :
2260157
Title :
An Improved Fog-Degrading Image Enhancement Algorithm Based on the Fuzzy Contrast
Author :
Liu, Huiyan ; He, Wenzhang ; Liu, Rui
Author_Institution :
Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear :
2010
fDate :
11-14 Dec. 2010
Firstpage :
570
Lastpage :
573
Abstract :
This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.
Keywords :
fog; fuzzy set theory; geophysical image processing; image enhancement; image resolution; image restoration; meteorology; blocking effect; fog blurred images; fog-degrading image enhancement algorithm; fuzzy contrast; image clarity; inverse operation; mathematical morphology; pixel gray membership function; sky region; visual quality; weather; fog image; fuzzy contrast; image enhancement; membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-9114-8
Electronic_ISBN :
978-0-7695-4297-3
Type :
conf
DOI :
10.1109/CIS.2010.130
Filename :
5696346
Link To Document :
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