A super-resolution reconstruction algorithm for mural images based on improved generative adversarial network

In order to solve the problem of the lack of ornamental value and research value of ancient mural paintings due to low resolution and fuzzy texture details, a super resolution (SR) method based on generative adduction network (GAN) was proposed. This method reconstructed the detail texture of mural...

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Detalhes bibliográficos

Principais autores:	GAO Li, ZHOU Xiaohui
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Publishing Center of North University of China 2024-12-01
coleção:	Journal of Measurement Science and Instrumentation
Assuntos:	mural image super-resolution reconstruction generative adversarial network information distillation block (IDB) feature fusion
Acesso em linha:	http://jmsi.publish.founderss.cn/thesisDetails#10.62756/jmsi.1674-8042.2024050
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