Results 11 to 20 of about 1,389 (179)
Tuning Retinex parameters [PDF]
Journal of Electronic Imaging, 2004 Our goal is to understand how the Retinex parameters affect the predictions of the model. A simplified Retinex computation is specified in the recent MATLAB TM implementation; however, there remain several free parameters that introduce significant variability into the model's predictions. We extend previous work on specifying these parameters.
Florian Ciurea, Brian V. Funt
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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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Journal of Electronic Imaging, 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 Department of Computer Science of Universita degli Studi di Milano. One important difference is in their
A. Rizzi, C. Bonanomi
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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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Lightness and Retinex Theory [PDF]
Journal of the Optical Society of America, 1971 Sensations of color show a strong correlation with reflectance, even though the amount of visible light reaching the eye depends on the product of reflectance and illumination. The visual system must achieve this remarkable result by a scheme that does not measure flux. Such a scheme is described as the basis of retinex theory. This theory assumes that
E H, Land, J J, McCann
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Color and Imaging Conference, 2000 Many different descriptions of Retinex methods of lightness computation exist. We provide concise MATLAB™ implementations of two of the spatial techniques of making pixel comparisons. The code is presented, along with test results on several images and a discussion of the results.
Brian V. Funt +2 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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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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Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model [PDF]
IEEE Transactions on Image Processing, 2007 In order to investigate the local filtering behavior of the Retinex model, we propose a new implementation in which paths are replaced by 2-D pixel sprays, hence the name "random spray Retinex." A peculiar feature of this implementation is the way its parameters can be controlled to perform spatial investigation.
E. Provenzi +5 more
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