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Weakly supervised single image dehazing
Journal of Visual Communication and Image Representation, 2020Abstract Single image dehazing is a critical image pre-processing step for many practical vision systems. Most existing dehazing methods solve this problem utilizing various of hand-crafted priors or by supervised training on the synthetic hazy image information (such as haze-free image, transmission map and atmospheric light).
Cong Wang 0018 +3 more
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Single nighttime image dehazing based on image decomposition
Signal Processing, 2021Abstract Dehazing plays an important role in promoting the performance of outdoor computer vision systems. However, existing dehazing methods are targeted to daytime haze scenes, and are not able to improve visual effects for nighttime hazy images due to the unpredictable factors at night.
Yun Liu 0002 +3 more
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Variational Regularized Single Image Dehazing
2020Dehazing from a single hazy image has been a crucial task for both computer vision and computational photography applications. While various methods have been proposed in the past decades, estimation of the transmission map remains a challenging problem due to its ill-posed nature.
Renjie He +3 more
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ICycleGAN: Single image dehazing based on iterative dehazing model and CycleGAN
Computer Vision and Image Understanding, 2021Abstract The current competitive approaches to restoring haze-free images are mainly based on physical models and learning methods. Maintaining detail information of the image while thoroughly removing fog is a challenging task in single-image dehazing.
Ziyi Sun +5 more
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Single Image Dehazing with Lab Analysis
Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018Images acquired by visual framework are genuinely corrupted under cloudy and foggy climate, therefore affecting detection, tracking and recognition of images. Thus, restoring the true scene from a hazy image is of great significance. To solve this problem, this paper presents a real-time effective dehazing algorithm for hazy surveillance images.
Jehoiada Kofi Jackson +2 more
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Single Remote Sensing Image Dehazing
IEEE Geoscience and Remote Sensing Letters, 2014Remote sensing images are widely used in various fields. However, they usually suffer from the poor contrast caused by haze. In this letter, we propose a simple, but effective, way to eliminate the haze effect on remote sensing images. Our work is based on the dark channel prior and a common haze imaging model.
Jiao Long +3 more
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Effective single image dehazing by fusion
2010 IEEE International Conference on Image Processing, 2010This papers introduces a new single image dehazing approach. The method employs a fusion-based strategy that takes as inputs two adapted versions of the original image that are weighted by speci??c maps in order to yield accurate hazefree results. The method computes in a per-pixel fashion being straightforward to be implemented.
Codruta Orniana Ancuti +2 more
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Single Image Dehazing via Image Generating
2018Outdoor images taken in bad weather conditions often suffer from poor visibility. However, single image haze removal is an ill-posed problem, because the number of the equations is smaller than the number of unknowns. In this paper, a deep learning-based method, called Dehaze CNN, is proposed to estimate a clear image patch from a hazy image patch ...
Shengdong Zhang +2 more
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Single Image Dehazing by Multi-Scale Fusion
IEEE Transactions on Image Processing, 2013Haze is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes. This is mainly due to the atmosphere particles that absorb and scatter the light. This paper introduces a novel single image approach that enhances the visibility of such degraded images.
Codruta O. Ancuti, Cosmin Ancuti
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Detail-preserving single nighttime image dehazing
Journal of Electronic Imaging, 2020Most existing dehazing approaches employ image priors such as a dark channel prior, which may be violated in the nighttime. In addition, these approaches perform dehazing directly on the original hazy image, which usually results in detail blurring and noise amplifying.
Aiping Yang +3 more
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