Results 41 to 50 of about 22,622,900 (184)

Gradient-Based Low-Light Image Enhancement [PDF]

2019 IEEE International Conference on Consumer Electronics (ICCE), 2019
A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based low-light image enhancement algorithm is proposed. The key is to enhance the gradients of dark region, because the gradients are more sensitive for human visual system than ...
Masayuki Tanaka 0001, Takashi Shibata 0001, Masatoshi Okutomi   +2 more
openaire   +3 more sources

Low Light Image Enhancement Based on Multi-Scale Network Fusion

IEEE 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, Chenfeng Zhang, Yingzhi Wang, Kai Ding, Tailin Han, Hong Liu, Yu Tian, Bo Xu, Mingchi Ju   +8 more
doaj   +1 more source

Attention-Based Network For Low-Light Image Enhancement [PDF]

2020 IEEE International Conference on Multimedia and Expo (ICME), 2020
The captured images under low light conditions often suffer insufficient brightness and notorious noise. Hence, low-light image enhancement is a key challenging task in computer vision. A variety of methods have been proposed for this task, but these methods often failed in an extreme low-light environment and amplified the underlying noise in the ...
Cheng Zhang, Qingsen Yan, Yu Zhu 0004, Xianjun Li, Jinqiu Sun, Yanning Zhang 0001   +5 more
openaire   +3 more sources

Low-light Image Enhancement Using the Cell Vibration Model [PDF]

, 2022
Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
Lei, Xiaozhou, X Lei (8002874), M Fei (7728962), Fei, Zixiang, Z Fei (8285622), W Zhou (7715300), Zhou, Wenju, Zhou, Huiyu, Fei, Minrui, Huiyu Zhou (535329)   +9 more
core  

Endoscopic image enhancement with noise suppression

Healthcare Technology Letters, 2018
Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery.
Wenyao Xia, Elvis C.S. Chen, Terry Peters   +2 more
doaj   +1 more source

SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]

Port Said Engineering Research Journal, 2021
The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub, Randa Atta, Rabab Abdel-Kader, Hesham Ali   +3 more
doaj   +1 more source

Enhancing Low-Light Images Using Infrared Encoded Images

2023 IEEE International Conference on Image Processing (ICIP), 2023
Low-light image enhancement task is essential yet challenging as it is ill-posed intrinsically. Previous arts mainly focus on the low-light images captured in the visible spectrum using pixel-wise loss, which limits the capacity of recovering the brightness, contrast, and texture details due to the small number of income photons.
Shulin Tian, Yufei Wang 0006, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen   +5 more
openaire   +3 more sources

Convolutional Neural Network-Based Low Light Image Enhancement Method

Компьютерная оптика
With advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
doaj   +3 more sources

Channel splitting attention network for low‐light image enhancement

IET Image Processing, 2022
Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu, Zebang Pang, Yanan Gu, Yanmei Zheng   +3 more
doaj   +1 more source

DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement

Tsinghua Science and Technology, 2023
Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang, Liangliang Li, Jiahe Zhu, Yuan Xue, Hongbing Ma   +4 more
doaj   +1 more source