NDLI: An improved image dehazing algorithm based on dark channel prior

Content Provider	IEEE Xplore Digital Library
Author	Jiajie Liu Jieying Zheng Ziguan Cui Guijin Tang Feng Liu
Copyright Year	2014
Description	Author affiliation: Jiangsu Province Key Lab. on Image Process. & Image Commun., Nanjing Univ. of Posts & Telecommun., Nanjing, China (Jiajie Liu; Jieying Zheng) \|\| Key Lab. of Broadband Wireless Commun. & Sensor Network Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China (Ziguan Cui; Guijin Tang; Feng Liu)
Abstract	Image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate color distortion. After image recovery, we carry out denoising to improve the image quality. Finally, we use a blind image quality assessment method based on property of Human Visual System, and the experimental results show that this improved algorithm is more effective.
Starting Page	1401
Ending Page	1404
File Size	1826127
Page Count	4
File Format	PDF
e-ISBN	9781479969890
DOI	10.1109/WARTIA.2014.6976545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Image color analysis Atmospheric modeling Dark channel prior Noise reduction Global atmospheric light Estimation Blind image quality assessment method Transmission Mathematical model Equations
Content Type	Text
Resource Type	Article

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