Fast smoothing technique with edge preservation for single image dehazing

In the single-image dehazing problem, it is critical that the transmission is accurately estimated. However, the extracted transmission in the dark channel model cannot effectively deal with the edge and the sky area because of the poor applicability of the dark channel prior to these areas. This st...

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Vydané v:	IET computer vision Ročník 9; číslo 6; s. 950 - 959
Hlavní autori:	Wang, Dan, Zhu, Jubo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 01.12.2015 Wiley
Predmet:	additional operator splitting algorithm Algorithms Channels computational complexity distorted sky area mitigation Distortion edge detection edge preservation false edge mitigation Filtering gradient preservation guided image filtering image filtering linear time algorithm optimisation Optimization single image dehazing Sky smoothing methods smoothing technique smoothness Splitting transmission optimisation variational model variational techniques smoothing methods false edge mitigation transmission optimisation image filtering distorted sky area mitigation edge preservation single image dehazing optimisation additional operator splitting algorithm linear time algorithm smoothness smoothing technique variational model variational techniques VM gradient preservation edge detection guided image filtering computational complexity
ISSN:	1751-9632, 1751-9640, 1751-9640
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Popis
Shrnutí:	In the single-image dehazing problem, it is critical that the transmission is accurately estimated. However, the extracted transmission in the dark channel model cannot effectively deal with the edge and the sky area because of the poor applicability of the dark channel prior to these areas. This study aims to solve that problem by proposing a novel variational model (VM) to optimise the transmission. This VM introduces a smoothness term and a gradient-preserving term to mitigate the false edge and the distorted sky area in the recovered image. Further, a fast algorithm to solve the VM is proposed on the basis of the additional operator splitting algorithm. This algorithm is an effective linear time algorithm and has excellent performance on optimising the transmission. The average running time of the algorithm shows an improvement of over 20 times that of the guided image filtering in these experiments. Experimental results also show that the proposed algorithm is both effective and efficient for optimising the transmission.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1751-9632 1751-9640 1751-9640
DOI:	10.1049/iet-cvi.2015.0063