Results 151 to 160 of about 6,596,130 (203)

ERetinex: Event Camera Meets Retinex Theory for Low-Light Image Enhancement

IEEE International Conference on Robotics and Automation
Low-light image enhancement aims to restore the under-exposure image captured in dark scenarios. Under such scenarios, traditional frame-based cameras may fail to capture the structure and color information due to the exposure time limitation.
Xuejian Guo, Zhiqiang Tian, Yuehang Wang, Siqi Li, Yu Jiang, Shaoyi Du, Yue Gao   +6 more
semanticscholar   +1 more source

URetinex-Net: Unifying Retinex Theory and Deep Learning to Enhance Images in Low-Light Conditions

2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS)
URetinex-Net proposes an innovative strategy to enhance images captured in low-light conditions by assimilating Edwin Land’s Retinex theory of Color Vision into a deep unfolding network.
Anubhav Gusain, Chirag Rana, Vartika Sharma, Neelam Sharma, Neeraj Garg   +4 more
semanticscholar   +1 more source

Nighttime Lane Detection Based on Retinex Theory and Self-Attention Distillation

Chinese Control and Decision Conference, 2023
In the night scene, the lane marking image is overall dark and the illumination is uneven. These problems lead to low detection accuracy, high missed detection rate, and false detection rate.
Jingpin Wang, Yuan Ge, Chao Han, Gang Ye, Jie Zhao, Tingting Chang   +5 more
semanticscholar   +1 more source

Low-Light Image Enhancement Algorithm for Underground Coal Mines Based on Retinex Theory

Journal of Intelligence and Knowledge Engineering
The underground environment of coal mines is complex, causing issues such as insufficient lighting, low contrast, and high noise in the images collected by underground monitoring equipment.
Guang Yang, Qingqing Ran, Lihong Dong, Naining Wen   +3 more
semanticscholar   +1 more source

Dehazing of Satellite Images using Improved Dark Channel Prior Method based on Retinex Theory

2023 1st International Conference on Optimization Techniques for Learning (ICOTL), 2023
Satellite images often suffer from uneven haze, which degrades their quality and impedes various advanced tasks. In recent times, the use of deep learning for removing haze from satellite pictures has gained considerable interest.
D. Naga, M. Rao, Venkata Sireesha, S.Saravanan, G.Irin, K. Vijaya, B. Reddy   +6 more
semanticscholar   +1 more source

Shadow removal using Retinex theory

2011 Third Chinese Conference on Intelligent Visual Surveillance, 2011
Shadows in images always cause problems to computer visual tasks, so how to remove shadow is an important topic of image processing. In this paper, we propose a new shadow removal method based on Retinex theory. We firstly use the gradient edge detection combined with 1-D illumination invariant image to detect the shadow area, then remove the shadow ...
null Guowen Ma, null Jinfeng Yang
openaire   +1 more source

The Modified Unsupervised Low-Light Image Enhancement Approach Based on the Retinex Theory

2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2023
Low-light image enhancement technology is mainly used to process the images which are taken under the conditions of short exposure time of the device or dark ambient light.
Yingchun Zhang, Shan Jiang, Xuan Liu
semanticscholar   +1 more source

Enhancement of Weakly Illuminated Images Using CNN and Retinex Theory

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020
Images captured in low light environments are more susceptible to loss of information in dark regions, making details of the scene not noticeable to humans. These dark images can also make difficult the use of automatic computer vision algorithms in applications as segmentation, object detection and recognition, or tracking.
Daniela S. Costa, Carlos A. B. Mello
openaire   +1 more source

Image Enhancement for Low-Light and Hazy Conditions Using Retinex Theory and Wavelet Transform Fusion

Fusion, 2023
Image enhancement has played a significant role in analyzing and synthesizing images in the modern era. This study proposed a method to improve the visual information, discrete entropy, peak signal-to-noise ratio, and the visual quality of low-light and ...
J. Singhai, D. Agrawal, Agnesh Chandra Yadav, Praveen Kumar Tyagi   +3 more
semanticscholar   +1 more source

Low-Light Video Enhancement Using Improved Illumination Map and Retinex Theory

Journal on Electronic and Automation Engineering
Low-light video enhancement is crucial in applications such as surveillance, automotive systems, and medical imaging, where visibility is affected by poor light conditions.

semanticscholar   +1 more source