Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation

Automatic Extraction of Blur Regions on a Single Image Based on Semantic Segmentation

Blur region detection from a single image with spatially-varying blur is a challenging task. Although many methods are proposed in the past decades, most of them are based on hand-crafted features. These features are not robust to image context, image size, blur type and other factors, which cannot...

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Bibliographic Details
Main Authors: Aodong Shen, Han Dong, Kun Wang, Youyong Kong, Jiasong Wu, Huazhong Shu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional network
blur detection
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9022961/

Internet

https://ieeexplore.ieee.org/document/9022961/

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