Underwater low-light enhancement network based on bright channel prior and attention mechanism. [PDF]
PLoS ONE, 2023 At present, there are some problems in underwater low light image, such as low contrast, blurred details, color distortion. In the process of low illumination image enhancement, there are often problems such as artifacts, loss of edge details and noise ...
Zhangjing Zheng, Xixia Huang, Le Wang
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Nighttime low illumination image enhancement with single image using bright/dark channel prior
EURASIP Journal on Image and Video Processing, 2018 Nighttime low illumination image enhancement is highly desired for outdoor computer vision applications. However, few works have been studied towards this goal. In addition, the low illumination enhancement problem becomes very challenging when the depth
Zhenghao Shi +4 more
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Haze Level Evaluation Using Dark and Bright Channel Prior Information
Atmosphere, 2022 Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available in this area. In this paper, a novel haze level evaluation strategy for real-world outdoor scenes is presented.
Ying Chu, Fan Chen, Hong Fu, Hengyong Yu
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Low-light image restoration using bright channel prior-based variational Retinex model
EURASIP Journal on Image and Video Processing, 2017 This paper presents a low-light image restoration method based on the variational Retinex model using the bright channel prior (BCP) and total-variation minimization.
Seonhee Park +4 more
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Learning to see colours: Biologically relevant virtual staining for adipocyte cell images.
PLoS ONE, 2021 Fluorescence microscopy, which visualizes cellular components with fluorescent stains, is an invaluable method in image cytometry. From these images various cellular features can be extracted.
Håkan Wieslander +4 more
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Defogging algorithm of underground coal mine image based on adaptive dual-channel prior
Gong-kuang zidonghua, 2022 When dark channel prior algorithm is used to deal with underground coal mine images, there are problems of image distortion, lack of details and dark light.
WANG Yuanbin +3 more
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Single-Image Dehazing Using Extreme Reflectance Channel Prior
IEEE Access, 2021 Image dehazing algorithms based on dark channel prior principle have achieved good results for most scenes. However, the popular dark channel prior tends to underestimate transmissions of bright areas or objects, such as the skies, white areas and self ...
Yutong Zhang +6 more
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Region Adaptive Single Image Dehazing
Entropy, 2021 Image haze removal is essential in preprocessing for computer vision applications because outdoor images taken in adverse weather conditions such as fog or snow have poor visibility.
Changwon Kim
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Image Dehazing Algorithm Based on Adaptive Threshold Segmentation and Transmittance Fusion [PDF]
Jisuanji gongcheng, 2019 When the dark channel priori dehazing algorithm is used to process an image with a large bright white area,the problem of image distortion occurs.To this end,an improved single image dehazing algorithm is proposed.The atmospheric light is obtained by ...
XIANG Wending, YANG Ping, XU Bing
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Single image dehazing based on bright channel prior model and saliency analysis strategy
IET Image Processing, 2021 Haze is a common atmospheric phenomenon that causes poor visibility in outdoor images, which greatly limits image application in later stages. Therefore, haze removal has become the first and most indispensable step when dealing with degraded images.
Libao Zhang, Shan Wang, Xiaohan Wang
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