Research on Deep Learning-Driven High-Resolution Image Restoration for Murals From the Perspective of Vision Sensing
Author:
Affiliation:
1. Fine Arts College of Henan University, Kaifeng, China
2. Information Management Center of Physical Education College of Zhengzhou University, Zhengzhou, China
Funder
Major Bidding Project of Education Science Planning of Henan Province in 2021
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10181310.pdf?arnumber=10181310
Reference30 articles.
1. Detection of unexpected copper sulfate decay compounds on late Gothic mural paintings: Assessing the threat of environmental impact
2. Additive Gaussian noise removal based on generative adversarial network model and semi-soft thresholding approach
3. Iterative Nonlocal Total Variation Regularization Method for Image Restoration
4. Real-time image restoration for digital multifocusing in a multiple color-filter aperture camera
5. DRL-Based Partial Offloading for Maximizing Sum Computation Rate of Wireless Powered Mobile Edge Computing Network
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