Motion deblurring is one of the fundamental problems of computer vision and has received
continuous attention. The variability in blur, both within and across images, imposes …

The aim of image restoration is to recover high-quality images from distorted ones. However,
current methods usually focus on a single task (eg, denoising, deblurring or super …

Capturing images at night are susceptible to inadequate illumination conditions and motion
blurring. Given the typical coupling of these two forms of degradation, a pioneer work takes a …

Deep learning methods have achieved great success in image deblurring. However, these
methods also exist two limitations, the detailed information loss caused by the image …

The goal of image rescaling is to embed the information from high-resolution images into
low-resolution images and then reconstruct the high-resolution images in reverse. Existing …

Recent advanced image restoration (IR) methods typically stack homogeneous operators
hierarchically in the UNet architecture. To achieve higher accuracy, these models are now …

Target detection technology has been widely used in the automatic production of lithium
batteries. However, motion blur will lead to the reduction of the angular position detection …

Vision sensors are versatile and can capture a wide range of visual cues, such as color,
texture, shape, and depth. This versatility, along with the relatively inexpensive availability of …