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20172025
most citedOn Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework

6 citations · 13 across the 10 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.IT2017

Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization

Fei Wen, Yuan Yang, Ling Pei +2

This work addresses the robust reconstruction problem of a sparse signal from compressed measurements. We propose a robust formulation for sparse reconstruction which employs the $…

cs.IT2017★ 1 cited

Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting

Fei Wen, Lasith Adhikari, Ling Pei +3

This work addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, supe…