Virtual restoration of paintings using adaptive adversarial neural network-Reference-Cited by-同舟云学术

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Virtual restoration of paintings using adaptive adversarial neural network

Published:2022-07-01 Issue:04 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Sizyakin Roman¹,Voronin Viacheslav²,Zelensky Aleksandr²,Pižurica Aleksandra¹

Affiliation:

1. Ghent University, TELIN-GAIM, Department Telecommunications and Information Processing, Ghent, Belgium

2. Moscow State University of Technology “STANKIN”, Center for Cognitive Technologies and Machine Vision “Digital Technologies of Mechanical Engineering”, Moscow, Russia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference39 articles.

1. Digital image processing techniques for the detection and removal of cracks in digitized paintings

2. Defect detection in coloured texture surfaces using Gabor filters

3. Wavelet-Based Pavement Distress Image Edge Detection with À Trous Algorithm

4. Bayesian crack detection in ultra high resolution multimodal images of paintings

5. Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment

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