Deep Residual Network with Sparse Feedback for Image Restoration

Deep Residual Network with Sparse Feedback for Image Restoration

A deep neural network is difficult to train due to a large number of unknown parameters. To increase trainable performance, we present a moderate depth residual network for the restoration of motion blurring and noisy images. The proposed network has only 10 layers, and the sparse feedbacks are adde...

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Bibliographic Details
Main Authors: Zhenyu Guo, Yujuan Sun, Muwei Jian, Xiaofeng Zhang
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Applied Sciences
Subjects:
image restoration
motion deburring
image denoising
sparse feedback
Online Access:https://www.mdpi.com/2076-3417/8/12/2417

Internet

https://www.mdpi.com/2076-3417/8/12/2417

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