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Fast single image dehazing based on image fusion
Journal of Electronic Imaging, 2015Images captured in foggy weather conditions often fade the colors and reduce the contrast of the observed objects. An efficient image fusion method is proposed to remove haze from a single input image. First, the initial medium transmission is estimated based on the dark channel prior.
Haibo Liu +3 more
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Adaptive dehazing control factor based fast single image dehazing
Multimedia Tools and Applications, 2019The single image dehazing is performed using atmospheric scattering model (ASM). The ASM is based on transmission and atmospheric light. Thus, accurate estimation of transmission is essential for quality single image dehazing. Single image dehazing is of prime focus in research nowadays.
Suresh Chandra Raikwar +1 more
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Single image dehazing with image entropy and information fidelity
2014 IEEE International Conference on Image Processing (ICIP), 2014In this paper, we propose a new single image dehazing approach based on information fidelity and image entropy. The global atmospheric light is estimated by quadtree subdivision using transformed hazy images. Then, transmission is estimated by an objective function which is comprised of information fidelity and image entropy at non-overlapped sub-block
Dubok Park +3 more
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Local albedo-insensitive single image dehazing
The Visual Computer, 2010In this paper, we present a new algorithm to remove haze from a single image. The proposed algorithm extracts transmission iteratively under the assumption that large-scale chromaticity variations are due to transmission while small-scale luminance variations are due to scene albedo.
Jiawan Zhang +4 more
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Improved single image dehazing using segmentation
2010 IEEE International Conference on Image Processing, 2010In the hazy weather, the image of outdoor scene is degraded by suspended particles. Scattering and absorption hinder scene radiance and bring in environment light into camera. In this work, a novel algorithm is introduced to restore the clear day image by the segmented hazy image.
Shuai Fang +3 more
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A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
ACM Computing Surveys, 2023Wenqi Ren, Jing Zhang, Dacheng Tao
exaly
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
International Journal of Computer Vision, 2021Boyun Li, Shuhang Gu, Joey Tianyi Zhou
exaly
RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing
IEEE Transactions on Image Processing, 2021Lin Zhang, Yicong Zhou, Shiyu Zhao
exaly
Single Image Dehazing with Deep-Image-Prior Networks
2023Hongyan Wang, Xin Wang, Zhixun Su
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