Zobrazeno 1 - 10
of 3 530
pro vyhledávání: '"Retinex"'
Autor:
En Mou, Huiqian Wang, Xiaodong Chen, Zhangyong Li, Enling Cao, Yuanyuan Chen, Zhiwei Huang, Yu Pang
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The quality of low-light endoscopic images involves applications in medical disciplines such as physiology and anatomy for the identification and judgement of tissue structures. Due to the use of point light sources and the constr
Externí odkaz:
https://doaj.org/article/7bfa375ed4db4f43b3f07a2a59dc5043
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Aiming at the problem of "crystallization" on the surface of Yuan blue and white ceramics, which causes reflections and loss of image texture, an image processing method is proposed to repair the image texture information. A multi-scale Reti
Externí odkaz:
https://doaj.org/article/8024e5b396464f6eb86079be9d9df299
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 28-35 (2024)
A visual recognition method for appearance defects of mine hoist steel wire ropes based on computer vision and deep learning is proposed to address the problems of difficult deployment for detecting multiple steel wire ropes, low image acquisition qu
Externí odkaz:
https://doaj.org/article/1fff17325f18427f89b4cbaf9d006145
Autor:
ZHANG Xuhui, WANG Yue, YANG Wenjuan, CHEN Xin, ZHANG Chao, HUANG Mengyao, LIU Yanhui, YANG Junhao
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 4, Pp 9-17 (2024)
The harsh environment of high dust and low lighting in the coal mine underground excavation working face results in low signal-to-noise ratio of the image, and a serious reduction in the number of effective feature points. The processed image has sig
Externí odkaz:
https://doaj.org/article/a76ff4b6c72e47c2aef32f480fa102b4
Autor:
Ola A. Basheer, Zohair Al-Ameen
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 2, Pp 138-151 (2024)
People are active during the nighttime and capture many photos. Due to the low-light nature of the environment, captured images tend to appear dimmed with imbalanced illumination, low contrast, noise, and a lack of vibrant colors. For this purpose, t
Externí odkaz:
https://doaj.org/article/8bbdf307dde6401b823942311d3f8d0e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Current low-light enhancement algorithms fail to suppress noise when enhancing brightness, and may introduces structural distortion and color distortion caused by halos or artifacts. This paper proposes a content-illumination coupling guided
Externí odkaz:
https://doaj.org/article/c3a5c428d5d341518522683252753acb
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 3, Pp 56-64 (2024)
There is a phenomenon of low lighting and excessive dust in underground mines, which leads to uneven lighting, blurriness, and loss of details in the images captured by monitoring videos. It affects subsequent intelligent image recognition. Existing
Externí odkaz:
https://doaj.org/article/14e597a5f022484f9fb2549c0a561de6
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 6, Pp 79-88, 111 (2024)
There are serious issues with uneven lighting and noise interference in coal mine underground images. The existing Retinex based methods are directly applied to enhance coal mine underground images, which are prone to problems such as halo artifacts,
Externí odkaz:
https://doaj.org/article/244dc9cde70044e791fa2eade06eeca4
Autor:
Mohan Yin, Jianbai Yang
Publikováno v:
IEEE Access, Vol 12, Pp 140185-140210 (2024)
Images captured under the influence of external factors (such as low light, nighttime, complex weather conditions, etc.) often exhibit unpleasant visual effects. Previous image enhancement methods have overly focused on improving brightness, neglecti
Externí odkaz:
https://doaj.org/article/47e2433affb64d6aa4378a863361c67d
Publikováno v:
IEEE Access, Vol 12, Pp 111360-111370 (2024)
Low-light images often lack visibility and information, and traditional methods of adjusting camera sensitivity and exposure time can result in visual quality degradation. In this paper, we propose a low-light enhancement method that utilizes two nov
Externí odkaz:
https://doaj.org/article/57acae8510514c5d914696aacd2b985a