Image recovery via transform learning and low-rank modeling: the power of complementary regularizers
Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their usefulness in various image/video processing applications. Patch-based methods exploit local patch sparsity, whereas other works apply low-rankness of grouped patches to exploit image non-local structures. Howeve...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161037 |
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Institution: | Nanyang Technological University |
Language: | English |