Image reconstruction in graphic design based on Global residual Network optimized compressed sensing model
Xinxin Fu,
Lujing Tang,
Yingjie Bai
Abstract: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. Following an initial reconstruction of compressed observations within similar groups, an initially reconstructed image block co-reconstruction group is obtained, featuring degraded reconstructed images. These images und… Show more
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