In this study, a general network model called multi-progressive image deblurring network is
proposed to correct blurring artifacts and local imaging details in underwater images. As a …

The restoration technology of non-uniform blurred images is a challenging open topic. Most
of the existing algorithms fail to effectively fuse multi-scale feature extraction with a self …

Deep learning (DL) based methods for motion deblurring, taking advantage of large-scale
datasets and sophisticated network structures, have reported promising results. However …

Deep learning's emergence and continued advancement have significantly changed and
redefined computer vision. Scene text identification and recognition, a significant area of …

Motion blur generated during aerial photography by UAVs can lead to distortion of the target
portion of the captured insulator image, which is not conducive to the subsequent …

A feature attention based multi-stage network for image deblurring is proposed. The feature
attention module is introduced into the model. This module is composed of channel attention …