Results 31 to 40 of about 850,785 (317)

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network [PDF]

open access: yesJournal of Visual Communication and Image Representation, 2021
Images captured in weak illumination conditions could seriously degrade the image quality. Solving a series of degradation of low-light images can effectively improve the visual quality of images and the performance of high-level visual tasks.
Jiang Hai   +6 more
semanticscholar   +1 more source

Adaptive Enhancement of Extreme Low-Light Images

open access: yes, 2023
Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set. However, this assumption often does not hold, leading to output images that contain visual imperfections such as dark regions or low contrast.
Neiterman, Evgeny Hershkovitch   +2 more
openaire   +2 more sources

Multi-Scale Low-Light Image Enhancement Network Based on U-Net [PDF]

open access: yesJisuanji gongcheng, 2022
Low light is a common phenomenon when shooting at night.Insufficient illumination causes serious loss of image details and reduces visual quality.The existing low-light image enhancement methods have insufficient perception and expression of features at ...
XU Chaoyue, YU Ying, HE Penghao, LI Miao, MA Yuhui
doaj   +1 more source

Low-Light Image Enhancement Method for Electric Power Operation Sites Considering Strong Light Suppression

open access: yesApplied Sciences, 2023
Insufficient light, uneven light, backlighting, and other problems lead to poor visibility of the image of an electric power operation site. Most of the current methods directly enhance the low-light image while ignoring local strong light that may ...
Yang Xi, Zihao Zhang, Wenjing Wang
doaj   +1 more source

Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]

open access: yesJisuanji gongcheng, 2021
The images collected in low-illumination environment are limited in the contrast, and suffer from detail loss and noise interference.To address the problem, a Retinex-based method is proposed to improve illumination map estimation and realize low ...
HAN Mengyan, LI Liangrong, JIANG Kai
doaj   +1 more source

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information [PDF]

open access: yesACM Multimedia, 2023
Recently, Fourier frequency information has attracted much attention in Low-Light Image Enhancement (LLIE). Some researchers noticed that, in the Fourier space, the lightness degradation mainly exists in the amplitude component and the rest exists in the
Chenxi Wang, Hongjun Wu, Zhi Jin
semanticscholar   +1 more source

Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks [PDF]

open access: yes, 2018
Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and depth estimation from a single shot.
Gul, M. Shahzeb Khan   +1 more
core   +2 more sources

Towards Robust Low Light Image Enhancement

open access: yes, 2022
In this paper, we study the problem of making brighter images from dark images found in the wild. The images are dark because they are taken in dim environments. They suffer from color shifts caused by quantization and from sensor noise. We don't know the true camera reponse function for such images and they are not RAW.
Aghajanzadeh, Sara, Forsyth, David
openaire   +2 more sources

Adaptive polarimetric image representation for contrast optimization of a polarized beacon through fog [PDF]

open access: yes, 2015
We present a contrast-maximizing optimal linear representation of polarimetric images obtained from a snapshot polarimetric camera for enhanced vision of a polarized light source in obscured weather conditions (fog, haze, cloud) over long distances ...
Alouini, Mehdi   +2 more
core   +3 more sources

Low Light Image Enhancement Based on Multi-Scale Network Fusion

open access: yesIEEE Access, 2022
At present, researchers have made great progress in the research of object detection, however, these studies mainly focus on the object detection of images under normal lighting, ignoring the target detection under low light.
Xuan Liu   +8 more
doaj   +1 more source

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