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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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Semi-Supervised Image Dehazing
IEEE Transactions on Image Processing, 2020We present an effective semi-supervised learning algorithm for single image dehazing. The proposed algorithm applies a deep Convolutional Neural Network (CNN) containing a supervised learning branch and an unsupervised learning branch. In the supervised branch, the deep neural network is constrained by the supervised loss functions, which are mean ...
Lerenhan Li +6 more
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Enhanced Pix2pix Dehazing Network
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019In this paper, we reduce the image dehazing problem to an image-to-image translation problem, and propose Enhanced Pix2pix Dehazing Network (EPDN), which generates a haze-free image without relying on the physical scattering model. EPDN is embedded by a generative adversarial network, which is followed by a well-designed enhancer.
Yanyun Qu +3 more
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Color-Constrained Dehazing Model
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020In this paper, we address the insufficiency of the popular atmospheric scattering model (ASM) used in the image dehazing problem. Unlike ASM assumes the global uniform atmospheric light and attenuation coefficients and thus often introduces unrealistic color after dehazing, we propose a novel dehazing model by relaxing the global uniform atmospheric ...
Shengdong Zhang +4 more
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An Efficient Image Dehazing Method
2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012A novel efficient dehazing technique for image reconstruction from single haze image is proposed in this paper. We employ an effective haze detector to detect the hazy image, and an efficient contrast enhancement technique for color images to reconstruct the hazy image.
Chih-Yuan Lien +2 more
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Dehazing for images with sun in the sky
Journal of Electronic Imaging, 2019Image dehazing is one of the most important image processing methods and it is widely used in daily application. A large number of dehazing algorithms have been proposed in recent years. In order to solve the problem that the dehazing performances of the classic dark channel prior methods for hazy images with the sun are bad, we propose a dehazing ...
Fangyu Hu +4 more
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Proceedings of the 5th International Conference on Multimedia and Image Processing, 2020
The appearance of outdoor images is easily affected by natural phenomena such as fog and dust, which reduces contrast and color distortion. Video dehazing has a wide range of real-time applications, but the challenges mainly come from large amount of computation and bad real-time performance.
Xing Zhao +3 more
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The appearance of outdoor images is easily affected by natural phenomena such as fog and dust, which reduces contrast and color distortion. Video dehazing has a wide range of real-time applications, but the challenges mainly come from large amount of computation and bad real-time performance.
Xing Zhao +3 more
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On parallelisation of image dehazing with OpenMP
International Journal of Embedded Systems, 2019In this paper, we present our learning experience on the design and implementation of image dehazing parallel code with OpenMP developed from existing fast sequential version. The aim of this work is to present an analysis of a case study showing the development of parallel haze removal with practical and efficient use of shared memory multi-core ...
Tien-Hsiung Weng +4 more
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel.
Dana Berman, Tali Treibitz, Shai Avidan
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Haze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze in every pixel.
Dana Berman, Tali Treibitz, Shai Avidan
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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