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For: Yang J, Guo J, Chao H. A versatile sparse representation based post-processing method for improving image super-resolution. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2016.04.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Number Cited by Other Article(s)
1
Partially supervised anchored neighborhood regression for image super-resolution through FoE features. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2017.11.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
2
Zhao J, Hu H, Cao F. Image super-resolution via adaptive sparse representation. Knowl Based Syst 2017. [DOI: 10.1016/j.knosys.2017.02.029] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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