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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Bibliografische Detailangaben

Hauptverfasser:	GAO Li, ZHOU Xiaohui
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Publishing Center of North University of China 2024-12-01
Schriftenreihe:	Journal of Measurement Science and Instrumentation
Schlagworte:	mural image super-resolution reconstruction generative adversarial network information distillation block (IDB) feature fusion
Online-Zugang:	http://jmsi.publish.founderss.cn/thesisDetails#10.62756/jmsi.1674-8042.2024050
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