Non‐uniform image blind deblurring by two‐stage fully convolution network

Deep neural networks have recently demonstrated high performance for deblurring. However, few methods are designed for both non‐uniform image blur estimation and removal with highly efficient. In this study, the authors proposed a fully convolutional network that outputs estimated blur and restored...

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Bibliographic Details
Main Authors: Chudan Wu, Yan Wo, Guoqing Han, Zhangyong Wu, Jiyun Liang
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/iet-ipr.2018.5716