Results 31 to 40 of about 1,383 (181)

Level set method with Retinex‐corrected saliency embedded for image segmentation

open access: yesIET Image Processing, 2021
It can be a very challenging task when using level set method segmenting natural images with high intensity inhomogeneity and complex background scenes.
Dongmei Liu   +3 more
doaj   +1 more source

Research on Improved Retinex-Based Image Enhancement Method for Mine Monitoring

open access: yesApplied Sciences, 2023
An improved Retinex fusion image enhancement algorithm is proposed for the traditional image denoising methods and problems of halo enlargement and image overexposure after image enhancement caused by the existing Retinex algorithm.
Feng Tian, Tingting Chen, Jing Zhang
doaj   +1 more source

Retinex Image Enhancement Algorithm Based on Rotational Symmetric Bilateral Filtering [PDF]

open access: yesJisuanji gongcheng, 2016
Aiming at the shortage that single scale Retinex algorithm has the halo phenomenon,noise amplification phenomenon and image graying,based on rotational symmetric bilateral filtering,this paper proposes a Retinex image enhancement algorithm.The ...
CHANG Jian,BAI Jiahong
doaj   +1 more source

Retinex at 40 [PDF]

open access: yesJournal of Electronic Imaging, 2004
Edwin Land first described the Retinex idea in the 1963 RESA William Proctor Prize Address, Cleveland, Ohio, on December 30, 1963. He said that it was fruitful to suggest that receptors exist in sets. A Retinex is all mechanisms from retina to cortex necessary to form images in terms of lightness.
openaire   +1 more source

Accelerating the Retinex Algorithm with CUDA [PDF]

open access: yesJournal of information and communication convergence engineering, 2010
Recently, the television market trend is change to HD television and the need of the study on HD image enhancement is increased rapidly. To enhancement of image quality, the retinex algorithm is commonly used. That’s why we studied how to accelerate the retinex algorithm with CUDA on GPGPU (general purpose graphics processing unit).
Hyo-Seok Seo, Oh-Young Kwon
openaire   +1 more source

Multiscale Retinex Application to Analyze Face Recognition

open access: yesJOIN: Jurnal Online Informatika, 2020
The main challenge that facial recognition introduces is the difficulty of uneven lighting or dark tendencies. The image is poorly lit, which makes it difficult for the system to perform facial recognition.
Supriyanto Supriyanto   +3 more
doaj   +1 more source

Image enhancement method of mine based on bilateral filtering and Retinex algorithm

open access: yesGong-kuang zidonghua, 2017
In view of defects that common bilateral filtering algorithm is easy to loss image details and Retinex algorithm is easy to appear phenomenon of halo artifacts when light and darkness changes violently, an image enhancement method based on bilateral ...
LIU Xiaoyang, QIAO Tong, QIAO Zhi
doaj   +1 more source

Enhancement of Underwater Images with Retinex Transmission Map and Adaptive Color Correction

open access: yesApplied Sciences, 2023
Underwater images often suffer from low contrast, low visibility, and color deviation. In this work, we propose a hybrid underwater enhancement method consisting of addressing an inverse problem with novel Retinex transmission map estimation and adaptive
Erkang Chen   +4 more
doaj   +1 more source

QBRIX: a quantile-based approach to retinex [PDF]

open access: yesJournal of the Optical Society of America A, 2014
In this paper, we introduce a novel probabilistic version of retinex. It is based on a probabilistic formalization of the random spray retinex sampling and contributes to the investigation of the spatial properties of the model. Various versions available of the retinex algorithm are characterized by different procedures for exploring the image content
Gianini, G, Manenti, A, Rizzi, A
openaire   +2 more sources

Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation

open access: yesIEEE Access, 2018
In this paper, we propose retinex-based perceptual contrast enhancement in images using luminance adaptation. Strong illumination causes the loss of local details in an image.
Qingtao Fu, Cheolkon Jung, Kaiqiang Xu
doaj   +1 more source

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