Mingli Zhang — accepted AI-conference papers

2017

Effective compressive sensing via reweighted total variation and weighted nuclear norm regularization

Mingli Zhang, Christian Desrosiers, Caiming Zhang

ICASSP 2017accepted

Total variation (TV) and non-local patch similarity have been used successfully to enhance the performance of compressive sensing (CS) approaches. However, such techniques can often remove important details in the image or introduce reconstruction artifacts. This paper presents a novel CS method, wh…

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2016

Medical image super-resolution with non-local embedding sparse representation and improved IBP

Mingli Zhang, Christian Desrosiers, Qiang Qu, Fenghua Guo, Caiming Zhang

ICASSP 2016accepted

This paper proposes a novel super-resolution method that exploits the sparse representation and non-local similarity of patches for the effective reconstruction of images. Highresolution images are reconstructed from low resolution observations with an efficient technique based on the alternating di…

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