A novel generative adversarial net for calligraphic tablet images denoising

Chinese calligraphic images have important historical and artistic value, but natural weathering and man-made decay severely damage these works, thus image denoising is an important topic to be addressed. Traditional denoising methods still leave room for improvement. In this paper, image denoising...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 79; no. 1-2; pp. 119 - 140
Main Authors:	Zhang, Jiulong, Guo, Mingtao, Fan, Jianping
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2020 Springer Nature B.V
Subjects:	Architecture Calligraphy Computer Communication Networks Computer Science Computer simulation Computer vision Cultural heritage Data processing Data Structures and Information Theory Embedded systems Image reconstruction Multimedia Multimedia Information Systems Noise Noise reduction Pattern recognition Special Purpose and Application-Based Systems Training Calligraphic images GAN Residual dense blocks Image denoising
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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