Image Restoration via Low-Illumination to Normal-Illumination Networks Based on Retinex Theory
C Wen, T Nie, M Li, X Wang, L Huang - Sensors, 2023 - mdpi.com
Under low-illumination conditions, the quality of the images collected by the sensor is
significantly impacted, and the images have visual problems such as noise, artifacts, and …
significantly impacted, and the images have visual problems such as noise, artifacts, and …
Efficient Saliency Map Detection for Low-Light Images Based on Image Gradient
Recently, deep learning has been widely employed across various domains. The
Convolution Neural Network (CNN), a popular deep learning algorithm, has been …
Convolution Neural Network (CNN), a popular deep learning algorithm, has been …
[PDF][PDF] 金属发动机叶片微小缺陷超分辨图像重建方法
葛鑫鑫， 崔海华， 徐振龙， 贺敏岐， 韩学志 - Acta Optica Sinica, 2023 - researching.cn
摘要针对金属发动机叶片细微缺陷边界对比度低, 描述符不足等造成的检测困难问题,
提出一种基于超分辨图像重建技术实现微小缺陷强化的方法. 首先, 为弥补固定分辨率常规图像 …
提出一种基于超分辨图像重建技术实现微小缺陷强化的方法. 首先, 为弥补固定分辨率常规图像 …