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A confidence prior for image dehazing
Pattern Recognition, 2021Abstract By sorting channel-minimized values in an ascending order, we individually put the values of several existing image dehazing priors on the curve of sorted values to propose a framework for unifying and understanding these priors. Then we propose a confidence ratio to specify the probability of each channel-minimized value within a range, and
Feiniu Yuan +4 more
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IEEE Transactions on Image Processing, 2020
In this paper, we study two less-touched challenging problems in single image dehazing neural networks, namely, how to remove haze from a given image in an unsupervised and zeroshot manner. To the ends, we propose a novel method based on the idea of layer disentanglement by viewing a hazy image as the entanglement of several "simpler" layers, i.e., a ...
Boyun Li +5 more
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In this paper, we study two less-touched challenging problems in single image dehazing neural networks, namely, how to remove haze from a given image in an unsupervised and zeroshot manner. To the ends, we propose a novel method based on the idea of layer disentanglement by viewing a hazy image as the entanglement of several "simpler" layers, i.e., a ...
Boyun Li +5 more
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QCNN-H: Single-Image Dehazing Using Quaternion Neural Networks
IEEE Transactions on Cybernetics, 2023Single-image haze removal is challenging due to its ill-posed nature. The breadth of real-world scenarios makes it difficult to find an optimal dehazing approach that works well for various applications. This article addresses this challenge by utilizing
V. Frants, S. Agaian, K. Panetta
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2023
Nowadays, researchers use vision-based measurement tools to record, detect, and monitor an atmospheric phenomenon called haze. It impedes the proper functioning of many outdoor industrial systems, such as autonomous driving, surveillance, satellite ...
Geet Sahu +3 more
semanticscholar +1 more source
Nowadays, researchers use vision-based measurement tools to record, detect, and monitor an atmospheric phenomenon called haze. It impedes the proper functioning of many outdoor industrial systems, such as autonomous driving, surveillance, satellite ...
Geet Sahu +3 more
semanticscholar +1 more source
Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training
arXiv.org, 2020Single image de-hazing is a challenging problem, and it is far from solved. Most current solutions require paired image datasets that include both hazy images and their corresponding haze-free ground-truth images. However, in reality, lighting conditions
Zahra Anvari, V. Athitsos
semanticscholar +1 more source
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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Single Image Dehazing Using End-to-End Deep-Dehaze Network
International Conference on Smart Media and Applications, 2020Atmospheric haze limits the performance of the camera sensor, which results in capturing degraded hazy images. Removal of this haze from the observed images is a complicated task because of its ill-posed nature.
Masud An Nur Islam Fahim, H. Jung
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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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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, 2019<p>Image 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 ...
Fangyu Hu +4 more
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