Results 31 to 40 of about 842,500 (318)
Unsupervised Low-Light Image Enhancement in the Fourier Transform Domain
Applied Sciences, 2023 Low-light image enhancement is an important task in computer vision. Deep learning-based low-light image enhancement has made significant progress. But the current methods also face the challenge of relying on a wide variety of low-light/normal-light ...
Feng Ming, Zhihui Wei, Jun Zhang
doaj +1 more source
Adaptive Enhancement of Extreme Low-Light Images
, 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]
Jisuanji 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
Applied 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
Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks [PDF]
, 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
Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]
Jisuanji 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
Towards Robust Low Light Image Enhancement
, 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
Continuous-wave Cascaded-Harmonic Generation and Multi-Photon Raman Lasing in Lithium Niobate Whispering-Gallery Resonators [PDF]
, 2011 We report experimental demonstration of continuous-wave cascaded-harmonic generation and Raman lasing in a millimeter-scale lithium niobate whispering-gallery resonator pumped at a telecommunication-compatible infrared wavelength.
Jeremy Moore +4 more
core +1 more source
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2023 Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account the semantic information ...
Yuhui Wu +6 more
semanticscholar +1 more source
Adaptive polarimetric image representation for contrast optimization of a polarized beacon through fog [PDF]
, 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