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In this paper, I will present an annihilating filter-based low-rank Hankel matrix approach for biomedical imaging and image processing that converts a compressive image reconstruction problem as a low-rank interpolation problems. The theoretical performance guarantee as well as various applications in imaging and image processing will be demonstrated.
© 2016 Optical Society of America
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