Results 31 to 40 of about 850,785 (317)
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network [PDF]
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
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]
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
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]
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]
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]
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
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]
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
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

