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Author

Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing

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Optimized contrast enhancement for real-time image and video dehazing

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Title
Optimized contrast enhancement for real-time image and video dehazing
Author
Kim, Jin-HwanJang, Won-DongSim, Jae-YoungKim, Chang-Su
Keywords
Contrast Enhancement; Dehazing; Information loss; Light estimations; Real time videos; Real-time images; Temporal coherence; Transmission value
Issue Date
201304
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Citation
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.24, no.3, pp.410 - 425
Abstract
A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications.
URI
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DOI
http://dx.doi.org/10.1016/j.jvcir.2013.02.004
ISSN
1047-3203
Appears in Collections:
ECE_Journal Papers

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