NDLI: Fast Algorithms for Foggy Image Enhancement Based on Convolution

Content Provider	IEEE Xplore Digital Library
Author	Chen Xianqiao Yan Xinping Chu Xiumin
Copyright Year	2008
Description	Author affiliation: Sch. of Comp., Wuhan Univ. of Tech., Wuhan (Chen Xianqiao) \|\| ITS, Wuhan Univ. of Tech., Wuhan (Yan Xinping; Chu Xiumin)
Abstract	When drivers moved in foggy weather, traffic accident often happened because of poor vision. Many research works have been done to this subject by scientists. One of these is the retinex theory, according to which, only the information reflected the objects' own characteristics are preserved, and some uncertain factors, such as the intensity of the light and the non-uniformity of the irradiation, are thrown off. Based on this hypothesis, many algorithms for foggy image enhancement have been developed. But a large computation works need to be done when these algorithms were used and in many situations, such as vision enhancement for foggy traffic, real-time performance is required. To solve this problem, a new algorithm FSSR for this topic, which is based on SSR algorithm, was proposed. The algorithm FSSR keeps the good enhancement results, and computation task is reduced evidently.
Starting Page	165
Ending Page	168
File Size	400150
Page Count	4
File Format	PDF
ISBN	9780769533117
DOI	10.1109/ISCID.2008.221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer vision foggy image FSSR Road accidents Filters Convolution Storms image enhancement SSR Lighting Iterative algorithms Image enhancement Computational intelligence
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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