An adaptive low-light image enhancement using canonical correlation analysis
P Kandhway - IEEE Transactions on Industrial Informatics, 2023 - ieeexplore.ieee.org
Images captured under low-illumination conditions exhibit numerous unwanted
appearances such as color distortion, low brightness, a narrow gray range, low contrast, and …
appearances such as color distortion, low brightness, a narrow gray range, low contrast, and …
A three-stage framework for accurate detection of high-speed train body paint film defects
S Wang, Z Xu, Y Wang, Z Tan, D Zhu - Advanced Engineering Informatics, 2024 - Elsevier
Detecting paint film defects on high-speed train (HST) body is a crucial step towards zero-
defect manufacturing (ZDM). The effectiveness of defect detection in industrial environments …
defect manufacturing (ZDM). The effectiveness of defect detection in industrial environments …
Low‐light image enhancement based on exponential Retinex variational model
X Chen, J Li, Z Hua - IET Image Processing, 2021 - Wiley Online Library
Aiming at the problems of residual noise, low contrast, and limited detail information caused
by low‐light images, this paper proposes a new Retinex variational model. According to …
by low‐light images, this paper proposes a new Retinex variational model. According to …
Registration and Fusion Using Reflection in Passive Millimeter-Wave Images
W Xu, L Lang, L Gui, K Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Passive millimeter-wave (PMMW) imaging technology is widely used in civilian and military
applications. However, there are reflections similar to the optical band in PMMW images …
applications. However, there are reflections similar to the optical band in PMMW images …
[PDF][PDF] Image Specular Highlight Removal using Generative Adversarial Network and Enhanced Grey Wolf Optimization Technique
Image highlight plays a major role in different interactive media and computer vision
technology such as image fragmentation, recognition and matching. The original data will be …
technology such as image fragmentation, recognition and matching. The original data will be …