Image Restoration via Deep Memory-Based Latent Attention Network

Image Restoration via Deep Memory-Based Latent Attention Network

Deep convolutional neural network (CNN) has made impressive achievements in the field of image restoration. However, most of deep CNN-based models have limited capability of utilizing the hierarchical features and these features are often treated equally, thus restricting the restoration performance...

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Bibliographic Details
Main Authors: Xinyan Zhang, Peng Gao, Kongya Zhao, Sunxiangyu Liu, Guitao Li, Liuguo Yin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image restoration
deep learning
deep memory-based network
latent attention block
Online Access:https://ieeexplore.ieee.org/document/9108234/

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