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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Bibliographic Details
Published in:IET computer vision Vol. 9; no. 6; pp. 950 - 959
Main Authors: Wang, Dan, Zhu, Jubo
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.12.2015
Wiley
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:1751-9632
1751-9640
1751-9640
DOI:10.1049/iet-cvi.2015.0063