Results 31 to 40 of about 1,011 (209)
Meitan kexue jishu, 2023 Due to the complexity of the spatial environment and poor lighting conditions in underground coal mines, the images obtained by vision devices are prone to problems such as insufficient contrast and poor texture details, which seriously affect the ...
Manli WANG +3 more
doaj +1 more source
AMBCR: Low‐light image enhancement via attention guided multi‐branch construction and Retinex theory
IET Image Processing, 2021 Due to different lighting environments and equipment limitations, low‐light images have high noise, low contrast and unobvious colours. The main purpose of low‐light image enhancement is to preserve the details and suppress noise as much as possible ...
Miao Li +4 more
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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
doaj +1 more source
, 2017 Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions.
Michela Lecca +7 more
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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EAI Endorsed Transactions on Scalable Information Systems, 2022 This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173789.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
doaj +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.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
Connections between Retinex, neural models and variational methods
, 2016 Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology.This paper explores the interrelations ...
Bertalmío, Marcelo
core +1 more source
A Retinex Inspired Bilateral Filter for Enhancing Images under Difficult Light Conditions
, 2021 This paper presents SuPeR-B, a novel, Retinex inspired color spatial algorithm to enhance images acquired under difficult light conditions, such as pictures containing dark and bright regions caused by backlight and/or local, not diffused spotlight ...
Michela Lecca
core +1 more source