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Image Enhancement Using Bright Channel Prior
2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016In view of the low illumination color images, image enhancement technology is commonly used in image processing. In this study, we propose a brightness enhancement algorithm based on the bright channel prior, which focuses on the gray removal. The local patches in sufficient illumination images contain some pixels that have very high intensities in at ...
Xinhua Guo
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Hybrid Single Image Dehazing With Bright Channel and Dark Channel Priors
2017 2nd International Conference on Image, Vision and Computing (ICIVC), 2017This paper proposes a novel method combining dark channel prior (DCP) and bright channel prior (BCP) for single image dehazing. The proposed method achieves airlight approximations by implementing numerical proximity of atmospheric light, which use the average value of the DCP and BCP.
Yunbo Rao +2 more
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Low-Light Image Enhancement Using CNN and Bright Channel Prior
2017 IEEE International Conference on Image Processing (ICIP), 2017In this paper, we propose a joint framework to enhance images under low-light conditions. First, a convolutional neural network (CNN) based architecture is proposed to denoise low-light images. Then, based on atmosphere scattering model, we introduce a low-light model to enhance image contrast.
Chuang Zhu, Xiaodong Xie
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Single Image Haze Removal Using Integrated Dark and Bright Channel Prior
Modern Physics Letters B, 2018In recent years, the dark channel prior (DCP) has been proven to be an adequate haze removal model. However, its procedure causes annoying halo and gradient reversal artifacts. To remove these issues, numerous filtering techniques have been designed and integrated with DCP.
Dilbag Singh, Vijay Kumar Chahar
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A novel Retinex image enhancement approach via brightness channel prior and change of detail prior
Pattern Recognition and Image Analysis, 2017In this paper, we propose a novel Retinex image enhancement approach by adopting two important prior named brightness channel prior (BCP) and change of detail (CoD) prior. We first derive a rough illumination map estimation method via BCP and Retinex model.
Zhenfei Gu, Mingye Ju, Dengyin Zhang
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$$l_{2}$$ Norm Prior-Based Modified Bright Channel for Low-Illumination Images
2020Low-illumination image enhancement problem is a very challenging problem in many computer vision applications and, when it comes to nighttime low-illumination images, it becomes more challenging because the depth information of the low-illumination image is not known.
Riya, Bhupendra Gupta, Subir Singh Lamba
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Single Image Dehazing using a Weighted Fusion of Dark and Bright Channel Prior with Gamma Correction
2021 2nd International Conference for Emerging Technology (INCET), 2021Nowadays, haze or fog has become a major hurdle for several computer vision applications. The images captured under such scenarios usually have poor visibility. This is because haze primarily affects the air light and hides the scene details. Such images, when directly used for computer vision algorithms, affect the performance of these algorithms and ...
Sudeep D. Thepade +4 more
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Image Dehazing using Dark and Bright Channel Priors and Multi-scale Filters
2020 14th International Conference on Open Source Systems and Technologies (ICOSST), 2020The paper proposes bright and dark channel priors dependent single image based dehazing in two color spaces. The hazy RGB is first converted into YC b C r space. Transmission maps are estimated using dark channel priors (DCPs) and airlight of intensity (in YC b C r ) and RGB components computed using three window sizes.
Nasir Baig +5 more
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Automatic local exposure correction using bright channel prior for under-exposed images
Signal Processing, 2013We address the problem of exposure correction for under-exposed images in this paper. We propose the bright channel prior based on the statistics of well-exposed images. Using the proposed prior, we are able to estimate the relative exposure in local image regions.
Yinting Wang +4 more
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A variational framework for single low light image enhancement using bright channel prior
2013 IEEE Global Conference on Signal and Information Processing, 2013Low light image enhancement is prerequisite in many fields, such as surveillance systems, road safety and waterway transport. In this paper, a new variational framework using bright channel prior is proposed to address the low light image enhancement problem within a single image.
Xueyang Fu +4 more
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