Results 31 to 40 of about 6,596,130 (203)
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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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
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Contactless Fingerprint Image Enhancement Based on Retinex and STFT [PDF]
Jisuanji gongcheng, 2017 For the low contrast between ridges and valleys,shake blur and other issues of fingerprint images obtained with digital cameras,a contactless fingerprint image enhancement algorithm based on Retinex theory and Short Time Fourier Transform(STFT) analysis ...
TANG Yonghe,JIANG Liehui,HOU Yifan,WANG Ruimin
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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
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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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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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Research of Low-illumination Image Enhancement Algorithm Based on Retinex Theory
AIBDF, 2023 The image enhancement based on Retinex theory can simultaneously improve brightness, details and color retaining, which has a comprehensive improvement in image quality. It is the focus of research on low-illumination image enhancement.
Shiqing Chen
semanticscholar +1 more source
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
Retinex Jointed Multiscale CLAHE Model for HDR Image Tone Compression
MathematicsTone-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
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