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An Entropy-Based Algorithm with Nonlocal Residual Learning for Image Compressive Sensing Recovery

Image recovery from compressive sensing (CS) measurement data, especially noisy data has always been challenging due to its implicit ill-posed nature, thus, to seek a domain where a signal can exhibit a high degree of sparsity and to design an effective algorithm have drawn increasingly more attenti...

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Detalles Bibliográficos
Autores principales: Xie, Zhonghua, Liu, Lingjun, Yang, Cui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515429/
http://dx.doi.org/10.3390/e21090900