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

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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Bibliographic Details
Main Authors: Xinxin Fu, Lujing Tang, Yingjie Bai
Format: Article
Language:English
Published: PeerJ Inc. 2024-08-01
Series:PeerJ Computer Science
Subjects:
Compressed sensing
CNN
Image reconstruction
Global residuals
Planar design
Online Access:https://peerj.com/articles/cs-2227.pdf

Internet

https://peerj.com/articles/cs-2227.pdf

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