Deep Concatenated Residual Networks for Improving Quality of Halftoning-Based BTC Decoded Image

This paper presents a simple technique for improving the quality of the halftoning-based block truncation coding (H-BTC) decoded image. The H-BTC is an image compression technique inspired from typical block truncation coding (BTC). The H-BTC yields a better decoded image compared to that of the cla...

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Autors principals:	Heri Prasetyo, Alim Wicaksono Hari Prayuda, Chih-Hsien Hsia, Jing-Ming Guo
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-01-01
Col·lecció:	Journal of Imaging
Matèries:	block truncation coding convolutional neural networks deep learning halftoning residual learning image reconstruction
Accés en línia:	https://www.mdpi.com/2313-433X/7/2/13
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