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EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory
Sensors, 2022 In recent years, deep convolutional neural network (CNN)-based image enhancement has shown outstanding performance. However, due to the problems of uneven illumination and low contrast existing in endoscopic images, the implementation of medical ...
Ziheng An +6 more
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DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning
IEEE Access, 2020 Northern maize leaf blight is one of the major diseases that endanger the health of maize. The complex background of the field and different light intensity make the detection of diseases more difficult.
Jun Sun +3 more
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An Improved Algorithm for Low-Light Image Enhancement Based on RetinexNet
Applied Sciences, 2022 Due to the influence of the environment and the limit of optical equipment, low-light images produce problems such as low brightness, high noise, low contrast, and color distortion, which have a great impact on their visual perception and the following ...
Hao Tang +3 more
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Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]
Jisuanji gongcheng, 2021 The images collected in low-illumination environment are limited in the contrast, and suffer from detail loss and noise interference.To address the problem, a Retinex-based method is proposed to improve illumination map estimation and realize low ...
HAN Mengyan, LI Liangrong, JIANG Kai
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, 2017 Several different implementations of the Retinex model have been derived from the original Land and McCann's paper. This paper aims at presenting the Milano-Retinex family, a collection of slightly different Retinex implementations, developed by the ...
Alessandro Rizzi +7 more
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Retinex Filtering of Underwater Images [PDF]
, 2020 This is the third work of a series which is discussing the applications that a Retinex filter can have for enhancing images. In the first paper, we considered the images from microscopes. In the second, we discussed how a Retinex filtering can help us in
Sparavigna, Amelia Carolina +1 more
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, 2019 Retinex is a colour vision model introduced by Land more than 40 years ago. Since then, it has also been widely and successfully used for image enhancement. However, Retinex often introduces colour and halo artefacts.
Vazquez Corral, Javier +1 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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From samples to populations in retinex models [PDF]
, 2017 Some spatial color algorithms, such as Brownian Milano retinex (MI-retinex) and random spray retinex (RSR), are based on sampling. In Brownian MI-retinex, memoryless random walks (MRWs) explore the neighborhood of a pixel and are then used to compute its
Gabriele Gianini, G. Gianini
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