Generative adversarial network, in short GAN, is a new convolution neural network (CNN)
based framework with the great potential to determine high dimensional data from its …

Because of low luminance in tunnels, target features in images are not salient, which makes
the detection of tunnel surface defects challenging. Most deep-learning-based low-light …

Low-light images, characterized by inadequate illumination, pose challenges of diminished
clarity, muted colors, and reduced details. Low-light image enhancement, an essential task …

Low-light images have low brightness and low contrast, which brings huge obstacles to the
intelligent video surveillance system. The enhancement of low-light images must …

Influenced by the natural environment and preservation conditions, the frescoes in the
monastery were damaged to some extent. In order to solve the fresco image restoration …

Low-light object detection is an important research area in computer vision, but it is also a
difficult issue. This research offers a low-light target detection network, NLE-YOLO, based on …

Images captured under complex conditions frequently have low quality, and image
performance obtained under low-light conditions is poor and does not satisfy subsequent …

Due to the limited network bandwidth and low-quality end-user devices, the images in
distance education videos are transferred in low resolution. It results in low clarity, which …

This study focuses on enhancing the quality of video images in coal mines under
challenging conditions such as dust and low illumination. Existing algorithms often suffer …

In the past decade, deep neural networks have been widely introduced into remote sensing
image interpretation tasks. Exploring how to improve the model at some critical points, such …