A Hybrid Sparse Representation Model for Image Restoration

Group-based sparse representation (GSR) uses image nonlocal self-similarity (NSS) prior to grouping similar image patches, and then performs sparse representation. However, the traditional GSR model restores the image by training degraded images, which leads to the inevitable over-fitting of the dat...

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Detalles Bibliográficos
Autores principales: Zhou, Caiyue, Kong, Yanfen, Zhang, Chuanyong, Sun, Lin, Wu, Dongmei, Zhou, Chongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778763/
https://www.ncbi.nlm.nih.gov/pubmed/35062497
http://dx.doi.org/10.3390/s22020537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778763/
https://www.ncbi.nlm.nih.gov/pubmed/35062497
http://dx.doi.org/10.3390/s22020537

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