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