DocumentCode
723928
Title
Single image dehazing based on maximizing local contrast
Author
Huiying Dong ; Changkai Zhao
Author_Institution
Dept. of Inf. Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2015
fDate
23-25 May 2015
Firstpage
6372
Lastpage
6377
Abstract
In order to restore visibility from a single degraded image, we propose a fast and efficient method based on local contrast maximization and atmospheric scattering model. According to the characteristics of outdoor imaging and the theory of graph cuts, the original method based on local contrast maximization was improved and optimized. We processed a number of degraded outdoor images to verify the effectiveness of our algorithm. The experimental results show that this method compared with the original has an advantage of processing speed, and it can be able to get a better dehazing output. Our method remarkably improves the stability and reliability of outdoor imaging devices.
Keywords
graph theory; image restoration; atmospheric scattering model; degraded outdoor image; graph theory; local contrast maximization; outdoor imaging; reliability; single degraded image; single image dehazing; Atmospheric modeling; Image edge detection; Image restoration; Imaging; Mathematical model; Meteorology; Scattering; Dehazing; Graph-Cut; Maximizing local contrast;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161964
Filename
7161964
Link To Document