Results 11 to 20 of about 5,381,311 (203)

Retinex Poisson Equation: a Model for Color Perception

open access: yesImage 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
doaj   +2 more sources

Retinex Based Image Enhancement via General Dictionary Convolutional Sparse Coding

open access: yesApplied 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
doaj   +2 more sources

Multiscale Retinex

open access: yesImage 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
doaj   +2 more sources

Retinex theory for color image enhancement: A systematic review [PDF]

open access: yesInternational Journal of Electrical and Computer Engineering (IJECE), 2019
<span>A short but comprehensive review of Retinex has been presented in this paper. Retinex theory aims to explain human color perception. In addition, its derivation on modifying the reflectance components has introduced effective approaches for images contrast enhancement.
Ruaa Riyadh Hussein   +2 more
openaire   +4 more sources

A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory

open access: yesApplied Sciences
Low-illumination images can seriously affect or even limit the performance of the human eye or a computer vision system, making image enhancement processing necessary.
Haixia Mao   +3 more
doaj   +2 more sources

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement

open access: yesCoRR
Many existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as noise, quantization error, non-linearity, and dynamic range overflow. In this paper, we propose a new expression called Digital-Imaging Retinex theory (DI-Retinex) through ...
Shangquan Sun   +4 more
openaire   +3 more sources

Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression

open access: yesMathematics
Tone-mapping algorithms aim to compress a wide dynamic range image into a narrower dynamic range image suitable for display on imaging devices. A representative tone-mapping algorithm, Retinex theory, reflects color constancy based on the human visual ...
Yu-Joong Kim, Dong-Min Son, Sung-Hak Lee
doaj   +2 more sources

Retinex-qDPC: automatic background rectified quantitative differential phase contrast imaging [PDF]

open access: yes, 2022
The quality of quantitative differential phase contrast reconstruction (qDPC) can be severely degenerated by the mismatch of the background of two oblique illuminated images, yielding problematic phase recovery results.
Tao Peng (81319)   +5 more
core   +2 more sources

Lightness and Retinex Theory [PDF]

open access: yesJournal 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
openaire   +2 more sources

Optimization algorithm for low‐light image enhancement based on Retinex theory

open access: yesIET Image Processing, 2023
To improve the visual quality of low‐light images and discover hidden details in images, an image enhancement algorithm is proposed, which is based on a fast and robust fuzzy C‐means (FRFCM) clustering algorithm combined with Retinex theory.
Jie Yang   +5 more
doaj   +1 more source

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