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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Bibliographic Details
Main Authors: Wen, Bihan, Li, Yanjun, Bresler, Yoram
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/161037
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Institution: Nanyang Technological University
Language: English