Results 21 to 30 of about 1,338 (116)
Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation
IEEE Access, 2018 In this paper, we propose retinex-based perceptual contrast enhancement in images using luminance adaptation. Strong illumination causes the loss of local details in an image.
Qingtao Fu, Cheolkon Jung, Kaiqiang Xu
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Improved Low-Light Image Feature Matching Algorithm Based on the SuperGlue Net Model
Remote SensingThe SuperGlue algorithm, which integrates deep learning theory with the SuperPoint feature extraction operator and addresses the matching problem using the classical Sinkhorn method, has significantly enhanced matching efficiency and become a prominent ...
Fengchao Li +5 more
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Recognition of road cracks based on multi-scale Retinex fused with wavelet transform
Array, 2022 Cracks are the main diseases of roads and potential threats to road safety. The detection and repair of cracks is the focus of intelligent transportation system research.
Shenao Liu, Yonghua Han, Lu Xu
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Gong-kuang zidonghua, 2023 The visual simultaneous localization and mapping (SLAM) algorithm based on the feature point method has certain applications in coal mines. However, due to factors such as uneven lighting, variable lighting, and alternating light and dark areas, the ...
FENG Wei +5 more
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Fractal and Fractional, 2023 As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater environment, underwater image enhancement is facing challenges of light scattering, absorption,
Yang Yu, Chenfeng Qin
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Gong-kuang zidonghuaThere are serious issues with uneven lighting and noise interference in coal mine underground images. The existing Retinex based methods are directly applied to enhance coal mine underground images, which are prone to problems such as halo artifacts ...
MU Qi +4 more
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Image Processing On Line, 2014 While the retinex theory aimed at explaining human color perception, its derivations have led to efficient algorithms enhancing local image contrast, thus permitting among other features, to "see in the shadows".
Ana Belén Petro +2 more
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Multispectral Demosaicking Using Bilinear Decomposition With Multichannel Structural Regularization
IEEE AccessIn this paper, a multispectral demosaicking algorithm that builds upon bilinear decomposition of a color image is proposed. The proposed algorithm can be summarized into three parts, where the first part constructs a graph-based measure that confines the
Sanghoon Kim, Jinook Lee, Moon Gi Kang
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Tsinghua Science and Technology, 2023 In recent years, learning-based low-light image enhancement methods have shown excellent performance, but the heuristic design adopted by most methods requires high engineering skills for developers, causing expensive inference costs that are unfriendly ...
Xiaoke Shang +3 more
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Low-light image enhancement based on improved Retinex-Net
Xi'an Gongcheng Daxue xuebao, 2022 In order to solve the problem of high noise and insufficient feature extraction of Retinex-Net in low-light image enhancement processing, this paper proposes a new network structure. First, the Retinex-Net network was used as the basic model to decompose
WANG Yannian +3 more
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