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Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
Computer Vision and Pattern RecognitionWe propose a novel Iterative Predictor-Critic Code Decoding framework for real-world image dehazing, abbreviated as IPC-Dehaze, which leverages the high-quality codebook prior encapsulated in a pre-trained VQGAN.
Jiayi Fu +7 more
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Single Image Dehazing Based on the Physical Model and MSRCR Algorithm
IEEE transactions on circuits and systems for video technology (Print), 2018To address the hazy weather image degradation problem, we propose a single image dehazing method based on a physical model and the brightness components of the image by using a multi-scale retinex with color restoration algorithm.
Jinbao Wang +4 more
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Toward Generalized and Realistic Unpaired Image Dehazing via Region-Aware Physical Constraints
IEEE transactions on circuits and systems for video technology (Print)Supervised dehazing models, trained on synthetic hazy-clean image pairs, often face a notable decline in performance when applied to real-world scenes.
Kaihao Lin +6 more
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Image Dehazing Based on Haze Degree Classification
ACM Cloud and Autonomic Computing Conference, 2020The existing technology of image dehazing neglects whether there is haze in an image and dehazes directly, which limits the efficiency of dehazing technology in real-world. Therefore, the classification of haze degree for image needs to be solved.
Xing Zhao +3 more
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Image dehazing combining polarization properties and deep learning.
Journal of The Optical Society of America A-optics Image Science and VisionIn order to solve the problems of color shift and incomplete dehazing after image dehazing, this paper proposes an improved image self-supervised learning dehazing algorithm that combines polarization characteristics and deep learning.
Ke Suo +4 more
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Day/night unconstrained image dehazing
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Images taken under fog or haze have their visibility reduced due to the existence of aerosols in the atmosphere. Image dehazing methods try to recover haze-free versions of these images by removing the effect of haze. Methods proposed till now are exclusively for daytime scene images or for night-time scene.
Sanchayan Santra, B. Chanda
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Fast single image dehazing algorithm
2014 International Conference on Audio, Language and Image Processing, 2014Image captured in foggy weather conditions often suffer from poor visibility. In this paper, we proposed an improved method of dark channel prior. Using the semi-inverse algorithm, the proposed algorithm can accurately identify the foggy area and effectively obtain the global atmospheric light. Then the transmission is obtained according to the minimum
Xipan Lu, Guoyun Lv, Tao Lei
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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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ACM SIGGRAPH 2008 papers, 2008
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in ...
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In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in ...
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Color Shifting-Aware Image Dehazing
2019 IEEE International Symposium on Multimedia (ISM), 2019Built upon an image formation model for a single hazy image, existing image dehazing methods typically restore hazed pixels by estimating the unknown transmission map and global ambient light via exploiting image priors. They often produce visually unpleasing results when hazy images are with unwanted color shifts due to inaccurate estimation about the
Jia-Li Yin +3 more
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