Results 11 to 20 of about 3,132,586 (280)
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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A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment [PDF]
Biocybernetics and Biomedical Engineering, 2021 Retinal image quality assessment is an essential task in the diagnosis of retinal diseases. Recently, there are emerging deep models to grade quality of retinal images. Current state-of-the-arts either directly transfer classification networks originally designed for natural images to quality classification of retinal images or introduce extra image ...
Ziwen Xu, Beiji Zou 0001, Qing Liu 0003
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Image Haze Removal Algorithm Using a Logarithmic Guide Filtering and Multi-Channel Prior
IEEE Access, 2021 In reality, the quality of an image is generally affected by haze. To obtain a well-quality image, removing haze is a hot issue on theory and application. This paper proposes a new algorithm to remove haze of hazy images.
Yuanyang Zou +3 more
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An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing [PDF]
Journal of Imaging Science and Technology, 2017 Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information.
Whannou de Dravo, Vincent +4 more
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Blind Image Deblurring via a Novel Sparse Channel Prior
Mathematics, 2022 Blind image deblurring (BID) is a long-standing challenging problem in low-level image processing. To achieve visually pleasing results, it is of utmost importance to select good image priors. In this work, we develop the ratio of the dark channel prior (
Dayi Yang, Xiaojun Wu, Hefeng Yin
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Restoration and Enhancement of Underwater Images Based on Bright Channel Prior [PDF]
Mathematical Problems in Engineering, 2016 This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the ...
Yakun Gao, Haibin Li, Shuhuan Wen
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IET Image Processing, 2021 The visibility of outdoor images is usually significantly degraded by haze. Existing dehazing algorithms, such as dark channel prior (DCP) and colour attenuation prior (CAP), have made great progress and are highly effective.
Guangbin Zhou +5 more
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Efficient Single Image Dehazing Model Using Metaheuristics-Based Brightness Channel Prior [PDF]
Mathematical Problems in Engineering, 2021 Haze degrades the spatial and spectral information of outdoor images. It may reduce the performance of the existing imaging models. Therefore, various visibility restoration models approaches have been designed to restore haze from still images. But restoring the haze is an open area of research.
Vinay Kehar +3 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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Patch-Wise Blind Image Deblurring Via Michelson Channel Prior
IEEE Access, 2019 Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen +4 more
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