Results 21 to 30 of about 12,335,378 (248)
Low-light Image Enhancement Using Cell Vibration Model
, 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 ...
X Lei (8002874) +4 more
core +3 more sources
Low-Light Enhancement in the Frequency Domain
CoRR, 2023 8 ...
Hao Chen, Zhi Jin
openaire +3 more sources
Exploring the Contributions of Low-Light Image Enhancement to Network-Based Object Detection
, 2021 Low-light is a challenging environment for both human and computer vision to perform tasks such as object classification and detection. Recent works have shown potential in employing enhancements algorithms to support and improve such tasks in low-light,
Yuen Peng Loh, Loh, Yuen Peng
core +1 more source
A degradation model for simultaneous brightness and sharpness enhancement of low-light image
, 2021 Although a large number of methods have been proposed for low-light image enhancement, there still remain challenges for these methods to simultaneously achieve excellent sharpness/resolution, high calculation efficiency as well as visual pleasure ...
Li, Pengliang +5 more
core +1 more source
The enhancement effect of current low-light enhancement algorithms on underwater low-light images.
, 2023 The enhancement effect of current low-light enhancement algorithms on underwater low-light images.
Zhangjing Zheng (10803119) +2 more
core +1 more source
An Experiment-Based Review of Low-Light Image Enhancement Methods [PDF]
, 2020 Article reviews the current techniques of low-light image ...
Wu, Xiaojin +3 more
core +1 more source
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 +8 more
doaj +1 more source
Towards Robust Low Light Image Enhancement
CoRR, 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.
Sara Aghajanzadeh, David A. Forsyth
openaire +3 more sources
Low Light Enhancement Network Zero-IDCE Code
, 2023 The implementation code for the low light enhancement network Zero-IDCE is written in Python language.
Jiayue Li (16458846)
core +1 more source
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 +3 more
doaj +1 more source