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
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