Results 21 to 30 of about 6,596,130 (203)
Level set method with Retinex‐corrected saliency embedded for image segmentation
IET Image Processing, 2021 It can be a very challenging task when using level set method segmenting natural images with high intensity inhomogeneity and complex background scenes.
Dongmei Liu +3 more
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Retinex Based Image Enhancement via General Dictionary Convolutional Sparse Coding
Applied Sciences, 2020 Retinex theory represents the human visual system by showing the relative reflectance of an object under various illumination conditions. A feature of this human visual system is color constancy, and the Retinex theory is designed in consideration of ...
Jongsu Yoon, Yoonsik Choe
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Modified dark channel prior based on multi-scale Retinex for power image defogging
EAI Endorsed Transactions on Scalable Information Systems, 2021 We, the Publisher, have retracted the following article: Haiyan Yu, Jihong Wang (2022). Modified dark channel prior based on multi-scale Retinex for power image defogging. EAI Endorsed Scal Inf Syst.
Haiyan Yu, Jihong Wang
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Underwater image enhancement method with non-uniform illumination based on Retinex and ADMM
Xibei Gongye Daxue Xuebao, 2021 In order to solve the image blurring and distortion problem caused by underwater non-uniform and low illumination, this paper proposes an underwater image enhancement algorithm based on the Retinex theory and the Alternating Direction Method of ...
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Retinex Poisson Equation: a Model for Color Perception
Image Processing On Line, 2011 In 1964 Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. Unfortunately, the Retinex Land-McCann original algorithm is both complex and not fully specified.
Nicola Limare +3 more
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Retracted: Research on image sharpening algorithm in weak illumination environment
IET Image Processing, 2020 Owing to low light intensity, the image detector is underexposure, the colour and contrast of scene images will be changed, so it is of great significance to study the image sharpening in a weak illumination environment.
Jinxing Niu, Yajie Jiang, Yayun Fu
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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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CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections [PDF]
IEEE International Conference on Robotics and AutomationRoutine visual inspections of concrete structures are imperative for upholding the safety and integrity of critical infrastructure. Such visual inspections sometimes happen under low-light conditions, e.g., checking for bridge health.
Zhen Yao +3 more
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Journal of Marine Science and Engineering, 2022 Underwater detection equipment with fish detection technology has broad application prospects in marine fishery resources exploration and conservation.
Yanhu Chen, Yucheng Ling, Luning Zhang
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Low-light Image Enhancement Based on Retinex Theory by Convolutional Neural Network [PDF]
Jisuanji kexue, 2022 In the course of decomposing and enhancing the low-light images with Retinex model,it needs to manually adjust the parameters continuously to reach the optimal solution,which will reduce the efficiency of the entire process.In addition,existing low-light
ZHAO Zheng-peng, LI Jun-gang, PU Yuan-yuan
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