Results 81 to 90 of about 22,622,900 (184)

Low-light Image Enhancement via Multispectral Reconstruction

Low-light images often fail to accurately capture color and texture, limiting their practical applications in imaging technology. The use of low-light image enhancement technology can effectively restore the color and texture information contained in the
Xin, L., Luo, H., Hu, X., Liang, J., Xiao, K., Ma, X.   +5 more
core   +1 more source

Low-illumination Object-Detection Algorithm Based on Image Adaptive Enhancement [PDF]

Jisuanji gongcheng
In the case of detection tasks in low-light environments, owing to the influence of unfavorable factors, such as low brightness, low contrast, and noise, missed and wrong detections can occur.
WANG Feifan, CHEN Xi'ai, REN Weihong, GUAN Yu, HAN Zhi, TANG Yandong
doaj   +1 more source

Dynamic Light Source Control for Image Enhancement in Low-Light Environments

Applied Sciences
In post-disaster mine rescue, extremely low illumination inside the mine severely degrades the quality of images captured by rescue robots, and conventional image enhancement techniques often struggle in such harsh environments.
Peng Sun, Yinhao Xu, Xiaosong Sun, Cong Zhang, Yanbiao Li, Tao Wang   +5 more
doaj   +1 more source

A Zero-Reference Low-Light Image-Enhancement Approach Based on Noise Estimation

Applied Sciences
A novel zero-reference low-light image-enhancement approach based on noise estimation (ZLEN) is proposed to mitigate noise interference in image-enhancement processes, while the tenets of zero-reference and lightweight network architecture are maintained.
Pingping Cao, Qiang Niu, Yanping Zhu, Tao Li   +3 more
doaj   +1 more source

Speckle Reduction with Attenuation Compensation for Skin OCT Images Enhancement [PDF]

The enhancement of skin image in optical coherence tomography (OCT) imaging can help dermatologists to investigate tissue layers more accurately, hence the more efficient diagnosis.
Hojjatoleslami, Ali, Avanaki, Mohammad R. N.   +1 more
core  

LIME

Proceedings of the 24th ACM international conference on Multimedia, 2016
When one captures images in low-light conditions, the images often suffer from low visibility. This poor quality may significantly degrade the performance of many computer vision and multimedia algorithms that are primarily designed for high-quality inputs.
openaire   +3 more sources

A LOW-LIGHT IMAGE ENHANCEMENT METHOD FOR BOTH DENOISING AND CONTRAST ENLARGING

, 2015
In this paper, a novel united low-light image enhancement framework for both contrast enhancement and denoising is proposed. First, the low-light image is segmented into superpixels, and the ratio between the local standard deviation and the local ...
Wang, Ronggang, Wen Gao, Li, Lin, Gao, Wen, Lin Li, Wang, Wenmin, Wenmin Wang, Ronggang Wang   +7 more
core   +1 more source

Exposing image forgery through detecting contrast enhancement [PDF]

, 2013
In this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear ...
Hu, Yongjian, Lin, Xufeng, Li, Chang-Tsun   +2 more
core  

Enhancement of Unevenly Illuminated Images: An Experiment-Based Review

Protek: Jurnal Ilmiah Teknik Elektro
Low-lighting conditions pose significant challenges to captured images and result in degraded image quality, characterized by poor visibility, imbalanced illumination, increased noise, limited contrast, inaccurate colours, and loss of detail.
Zainab Khalid Younis
doaj   +1 more source

No-Reference Low-Light Image Enhancement with Enhanced Feature Map [PDF]

Since low-light images are of poor quality and carry noise, resulting in insufficient contrast and brightness, unclear details in the image, and the problem of high cost of obtaining paired low-light image datasets, a no-reference low-light image ...
YUAN Heng, WANG Xiaoxue, ZHANG Shengchong
core   +2 more sources