Deep blur detection network with boundary-aware multi-scale features
Recently, blur detection is a hot topic in computer vision. It can accurately segment the blurred areas from an image, which is conducive for the post-processing of the image. Although many hand-crafted features based approaches have been presented during the last decades, they were not robust to th...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
|
Series: | Connection Science |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/09540091.2021.1933906 |