Cited By
View all- Zhu LWei WPan ZJi LSong JLi J(2022)Semi‐supervised learning dehazing algorithm based on the OSV modelIET Image Processing10.1049/ipr2.1267917:3(872-885)Online publication date: 24-Nov-2022
Single Image Dehazing Method Based on Cartoon-Texture Decomposition
Article No.: 108, Pages 1 - 5
Abstract
In1 this paper, we propose an efficient image dehazing method based on cartoon-texture decomposition. First, we decompose the hazy image into two parts: the cartoon part and the texture part. and then the cartoon part is dehazed and the texture part is enhanced. Finally, the dehazed cartoon part and the enhanced texture part are recombined to obtain the final haze-free image. The experimental results indicate that our algorithm achieve the effect of balancing the color and enhancing the detail, and improve the overall brightness of the image.
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Index Terms
- Single Image Dehazing Method Based on Cartoon-Texture Decomposition
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October 2018
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Published: 22 October 2018
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CSAE '18
CSAE '18: The 2nd International Conference on Computer Science and Application Engineering
October 22 - 24, 2018
Hohhot, China
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CSAE '18 Paper Acceptance Rate 189 of 383 submissions, 49%;
Overall Acceptance Rate 368 of 770 submissions, 48%
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View all- Zhu LWei WPan ZJi LSong JLi J(2022)Semi‐supervised learning dehazing algorithm based on the OSV modelIET Image Processing10.1049/ipr2.1267917:3(872-885)Online publication date: 24-Nov-2022
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