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Image Defogging Framework Using Segmentation and the Dark Channel Prior [PDF]
Entropy, 2021 Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision.
Sabiha Anan +5 more
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A Single Image Enhancement Technique Using Dark Channel Prior [PDF]
Applied Sciences, 2021 In this paper, we propose a novel single image enhancement technique for defogging by using dark channel prior. The traditional dark channel prior methods for defogging have problems of high time complexity, edge effect, and failure of dark channel prior.
Cong Wang +3 more
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Jurnal informatika UPGRIS, 2021 Ancaman terhadap kekayaan alam semakin terlihat, oleh karena itu upaya untuk melindungi populasi biota perairan sangat menantang bagi banyak negara. Upaya untuk mengatasi kerusakan terhadap populasi ikan asli telah dilakukan dengan mengurangi populasi ...
R.A. Pramunendar +3 more
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Self-supervised zero-shot dehazing network based on dark channel prior [PDF]
Frontiers of Optoelectronics, 2023 Most learning-based methods previously used in image dehazing employ a supervised learning strategy, which is time-consuming and requires a large-scale dataset. However, large-scale datasets are difficult to obtain.
Xinjie Xiao +4 more
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Specular Reflection Image Enhancement Based on a Dark Channel Prior [PDF]
IEEE Photonics Journal, 2021 In this paper, we propose a specular highlight image enhancement algorithm based on a dark channel prior to solve the problem of information loss in specular highlight images in real scenes.
Ye Xin +3 more
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Dynamic Dark Channel Prior Dehazing with Polarization
Applied Sciences, 2023 For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional
Haotong Suo +6 more
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A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior [PDF]
International Journal of Applied Mathematics and Computer Science, 2022 The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel ...
Yu Xiaoyuan, Xie Wei, Yu Jinwei
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Image Haze Removal Using Dark Channel Prior [PDF]
Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013), 2013 In this paper,It mainly studied the method of image haze removal based on the dark channel prior and simulation realization about it. Experiment has proved that,the algorithm can according to the different concentration levels of fog to haze removal higher quality.This haze removal algorithm can keep the feeling of depth of the image, and reducing the ...
ShaSha Liu, Xianghui Shen
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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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GAN based image deblurring using dark channel prior [PDF]
Electronic Imaging, 2019 5 pages, 3 figures.
Shuang Zhang* +2 more
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