Results 31 to 40 of about 5,381,311 (203)
Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement
IEEE Access, 2018 This paper presents a dual autoencoder network model based on the retinex theory to perform the low-light enhancement and noise reduction by combining the stacked and convolutional autoencoders.
Seonhee Park +4 more
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Detection method of joint twitching of steel cord conveyor belt
Gong-kuang zidonghua, 2017 For low accuracy and poor adaptability existed in current detection methods of joint twitching of steel cord conveyor belt, a detection method of joint twitching of steel cord conveyor belt based on X-ray image was proposed.
HAN Xiandai, CAO Xuehong, JIAO Liangbao
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Low light combining multiscale deep learning networks and image enhancement algorithm
Современные инновации, системы и технологии, 2022 Aiming at the lack of reference images for low-light enhancement tasks and the problems of color distortion, texture loss, blurred details, and difficulty in obtaining ground-truth images in existing algorithms, this paper proposes a multi-scale ...
Ся Ю +2 more
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Designator retinex, Milano retinex and the locality issue
, 2016 Several different implementations of the Retinex model have derived from the original Land and McCann paper. This paper aims at presenting two of them: the Land Designator and Milano Retinex. Land Designator is an alternative calculation described in his
A. Rizzi
core +2 more sources
, 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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Contourlet-based non-local mean via Retinex theory for robot infrared image enhancement
EAI Endorsed Transactions on Scalable Information Systems, 2022 This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173789. Aiming at the problems of fuzzy details and excessive enhancement in traditional robot infrared image enhancement algorithms ...
Xi Zhang, Jiyue Wang
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Seeing Through Scattering With Computational Advances: A Review
Advanced Photonics Research, Volume 7, Issue 6, June 2026.In scattering media, light scrambles into random speckles and impedes our vision. Unlocking hidden information enables breakthroughs to see behind the opaqueness, inspiring applications in imaging, communication, and encryption. Unlike clear media such as clear water and air, a scattering medium is inhomogeneous, in which propagating photons are ...
Huanhao Li +4 more
wiley +1 more source
, 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 +3 more
core +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 709-725, June 2026.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
Cervical Precancerous Lesion Image Enhancement Based on Retinex and Histogram Equalization
Mathematics, 2023 Cervical cancer is a prevalent chronic malignant tumor in gynecology, necessitating high-quality images of cervical precancerous lesions to enhance detection rates.
Yuan Ren, Zhengping Li, Chao Xu
doaj +1 more source