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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A low‐light image enhancement method based on bright channel prior and maximum colour channel [PDF]
IET Image Processing, 2021 Low‐light image enhancement algorithms have been introduced to improve the visual quality of low‐light images that may degrade the performance of many computer vision and multimedia systems designed for high‐quality images.
Ghada Sandoub +3 more
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Optimal Channel Strategy for Dual-Channel Retailers: The Bright Side of Introducing Agency Channels
Frontiers in Physics, 2022 Driven by the prosperity of the online retail market and the success of the agency selling format, dual-channel retailers have engaged extensively in online retailing.
Yang Wang
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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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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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Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring [PDF]
IEEE Transactions on Image Processing, 2020 Recent years have witnessed the significant progress on convolutional neural networks (CNNs) in dynamic scene deblurring. While most of the CNN models are generally learned by the reconstruction loss defined on training data, incorporating suitable image priors as well as regularization terms into the network architecture could boost the deblurring ...
Wangmeng Zuo, Jianrui Cai
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Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior
Electronics (Switzerland), 2023 Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to address a large band of haze, we propose a simple yet effective method for single-image dehazing based ...
Hao Zhou, Hailing Xiong
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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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Bright Ion Channels and Lipid Bilayers [PDF]
Accounts of Chemical Research, 2013 If we look at a simple organism such as a zebrafish under a microscope, we would see many cells working in harmony. If we zoomed in, we would observe each unit performing its own tasks in a special aqueous environment isolated from the other units by a lipid bilayer approximately 5 nm thick.
- Szymanski +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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