Zobrazeno 1 - 10
of 1 356
pro vyhledávání: '"low-light image"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Transformer-based methods effectively capture global dependencies in images, demonstrating outstanding performance in multiple visual tasks. However, existing Transformers cannot effectively denoise large noisy images captured under low-ligh
Externí odkaz:
https://doaj.org/article/0d485601babd4a43b8b46454eafa527a
Publikováno v:
IET Image Processing, Vol 18, Iss 11, Pp 3028-3041 (2024)
Abstract Low‐light images are captured in environments with minimal lighting, such as nighttime or underwater conditions. These images often suffer from issues like low brightness, poor contrast, lack of detail, and overall darkness, significantly
Externí odkaz:
https://doaj.org/article/a61d2fe688554a4b9494bf0cefe8788d
Autor:
Wong, Johnny Kwok Wai, Maghrebi, Mojtaba, Ahmadian Fard Fini, Alireza, Alizadeh Golestani, Mohammad Amin, Ahmadnia, Mahdi, Er, Michael
Publikováno v:
Construction Innovation, 2022, Vol. 24, Issue 2, pp. 470-491.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CI-02-2022-0044
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4019-4032 (2024)
Abstract Intelligent monitoring technology plays an important role in promoting the development of coal mine safety management. Low illumination in the coal mine underground leads to difficult recognition of monitoring images and poor personnel detec
Externí odkaz:
https://doaj.org/article/fbadf828f8044ece8bd1964ed170477a
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 132891-132903 (2024)
Low-light images are susceptible to poor visibility, low contrast, and additive noise. Although various techniques can enhance brightness to a reasonable extent, they inevitably amplify noise and cause color distortion, halo artifacts, and other form
Externí odkaz:
https://doaj.org/article/2b8dddf0fcc64cc5847d4c0d6a499d1c
Autor:
Jun Zhu, Fenglian Liu, Zhihang Xue, Wenwei Luo, Haoran Peng, Jun He, Zhengzheng Fu, Donghui Luo
Publikováno v:
IEEE Access, Vol 12, Pp 106013-106024 (2024)
Ensuring the stability of cable tunnels is crucial for power safety and urban reliability in light of the increasing demand for urban electricity. However, frequent waterlogging incidents within tunnels pose a significant threat to city safety by dis
Externí odkaz:
https://doaj.org/article/8e48402b7b614a89aba22a4d5cfd209d
Publikováno v:
IEEE Access, Vol 12, Pp 105674-105685 (2024)
Low-light images captured at night often suffer from improper exposure, color distortion, and noise, which degrades the image quality and have a negative influence on subsequent applications. Many existing deep learning-based methods enhance low-ligh
Externí odkaz:
https://doaj.org/article/585892bed93945768dad805a1c3e5a2c
Publikováno v:
IEEE Access, Vol 12, Pp 72408-72419 (2024)
The single image super-resolution based on deep learning has achieved extraordinary performance. However, due to inevitable environmental or technological limitations, some images not only have low resolution but also low brightness. The existing sup
Externí odkaz:
https://doaj.org/article/0031a8d49ee4429fa193ebacd6016625
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3125 (2024)
With the continuous development of autonomous driving, traffic sign detection, as an essential subtask, has witnessed constant updates in corresponding technologies. Currently, traffic sign detection primarily confronts challenges such as the small s
Externí odkaz:
https://doaj.org/article/e11e1c7684ab4321b64cb4cd6666d98e