Image reconstruction in graphic design based on Global residual Network optimized compressed sensing model

The article aims to address the challenges of information degradation and distortion in graphic design, focusing on optimizing the traditional compressed sensing (CS) model. This optimization involves creating a co-reconstruction group derived from compressed observations of local image blocks. Foll...

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Detalhes bibliográficos

Principais autores:	Xinxin Fu, Lujing Tang, Yingjie Bai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2024-08-01
Colecção:	PeerJ Computer Science
Assuntos:	Compressed sensing CNN Image reconstruction Global residuals Planar design
Acesso em linha:	https://peerj.com/articles/cs-2227.pdf
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