Results 91 to 100 of about 919 (135)

Enhancing Underwater Images of a Bionic Horseshoe Crab Robot Using an Artificial Lateral Inhibition Network. [PDF]

Sensors (Basel)
Ma Y, Zheng L, Piao Y, Wang Y, Yu H.
europepmc   +1 more source

UAV-Based Oil Leakage Spot Detection Under Complex Illumination via a Collaborative Low-Light Enhancement and Detection Framework. [PDF]

Sensors (Basel)
Ha Y, Zhao L, Zhang H.
europepmc   +1 more source

Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features. [PDF]

Sci Rep
Veeramakali T, Sayeed MS, Yogarayan S.
europepmc   +1 more source

CDFFusion: A Color-Deviation-Free Fusion Network for Nighttime Infrared and Visible Images. [PDF]

Sensors (Basel)
Chen H, Zhang T, Zhai S, Tong X, Zhu R.
europepmc   +1 more source

Reconstructing illusory camouflage patterns on moth wings using computer vision. [PDF]

J R Soc Interface
Jospin LV, Porter JW, Boussaid F, Bennamoun M, Kelley JL.   +4 more
europepmc   +1 more source

SwinLightGAN a study of low-light image enhancement algorithms using depth residuals and transformer techniques. [PDF]

Sci Rep
He M, Wang R, Zhang M, Lv F, Wang Y, Zhou F, Bian X.   +6 more
europepmc   +1 more source

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A PDE Formalization of Retinex Theory

IEEE Transactions on Image Processing, 2010
In 1964 Edwin H. Land formulated the Retinex theory, the first attempt to simulate and explain how the human visual system perceives color. His theory and an extension, the "reset Retinex" were further formalized by Land and McCann. Several Retinex algorithms have been developed ever since. These color constancy algorithms modify the RGB values at each
Catalina Sbert
exaly   +3 more sources

A Total Variation Model for Retinex

SIAM Journal on Imaging Sciences, 2011
Human vision has the ability to recognize color under varying illumination conditions. Retinex theory is introduced to explain how the human visual system perceives color. The main aim of this paper is to present a total variation model for Retinex.
Michael Ng
exaly   +2 more sources

Retinex by Autoencoders

2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022
The Retinex algorithms find wide applications as image enhancers, for their capability of preserving edges, while at the same time attenuating smooth gradients and chromatic dominants. They are characterized by the fact that the output chromatic intensity of a pixel is not determined in isolation (or looking only at the contiguous pixels) but through ...
Pezzoni, Claudio, Mio, Corrado, Barsotti, Annalisa, Gianini, Gabriele   +3 more
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Assessment of the Wiener–Retinex process

Applied Optics, 2002
We assess the performance of the Retinex transformation, the Wiener restoration, and the combined Wiener-Retinex process in the context of the end-to-end model of color visual-communication channels for near-surface acquisition. We extend the formulations of panchromatic imaging for the nonlinear Retinex transformation and the linear Wiener and Wiener ...
Rachel, Alter-Gartenberg, Scott R, Nolf, Richard E, Davis   +2 more
openaire   +2 more sources