3 citations · 8 across the 4 of their papers we have counts for
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Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond
Jian-Feng Cai, Jae Kyu Choi, Jingyang Li +1
Recently, mapping a signal/image into a low rank Hankel/Toeplitz matrix has become an emerging alternative to the traditional sparse regularization, due to its ability to alleviate…
Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization
Jian-Feng Cai, Jae Kyu Choi, Ke Wei
Recently, the finite-rate-of-innovation (FRI) based continuous domain regularization is emerging as an alternative to the conventional on-the-grid sparse regularization for the com…
Fast Cadzow's Algorithm and a Gradient Variant
Haifeng Wang, Jian-Feng Cai, Tianming Wang +1
The Cadzow's algorithm is a signal denoising and recovery method which was designed for signals corresponding to low rank Hankel matrices. In this paper we first introduce a Fast C…
Exploiting the structure effectively and efficiently in low rank matrix recovery
Jian-Feng Cai, Ke Wei
Low rank model arises from a wide range of applications, including machine learning, signal processing, computer algebra, computer vision, and imaging science. Low rank matrix reco…