DocumentCode :
120859
Title :
Outdoor image enhancement: Increasing visibility under extreme Haze and lighting condition
Author :
Naik, Deepak Kumar ; Rout, Deepak Kumar
Author_Institution :
Dept. of Electron. & Telecommun., C.V. Raman Polytech., Bhubaneswar, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
1081
Lastpage :
1086
Abstract :
This paper addresses the problem of image enhancement thereby enhancement of scene visibility in outdoor images. Visibility is a very important issue in case of computer based surveillance, crime analysis, driver assistance system design etc. The most important challenge related to visibility is the atmospheric haze and poor lighting. The problem becomes more challenging if haze is too dense and lighting during night is extremely poor. In this paper an automatic degradation detection and restoration algorithm has been proposed, which detects the type of degradation using the distribution of the scene, then uses the hybrid dark channel prior based haze removal algorithm if the image is degraded due to atmospheric haze only, otherwise it computes the image negative first and then uses the hybrid DCP to resolve the problem. The algorithm has been tested in many situations and the results obtained are satisfactory as comparison to the existing algorithms.
Keywords :
computer vision; image enhancement; image restoration; video surveillance; visibility; atmospheric haze; automatic degradation detection; computer based surveillance; crime analysis; driver assistance system design; extreme haze; haze density; hybrid DCP; hybrid dark channel prior based haze removal algorithm; image negative; lighting condition; outdoor image enhancement; poor lighting; restoration algorithm; scene distribution; scene visibility enhancement; Algorithm design and analysis; Atmospheric modeling; Computer vision; Histograms; Image color analysis; Lighting; Pattern recognition; auto-haze detection; dark channel prior; histogram equalization; hybrid DCP; image dehazing; poor lighting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779476
Filename :
6779476
Link To Document :
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