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cs.CV2022
Low rank prior and l0 norm to remove impulse noise in images
Haijuan Hu
Patch-based low rank is an important prior assumption for image processing. Moreover, according to our calculation, the optimization of l0 norm corresponds to the maximum likelihoo…
cs.CV2015★ 3 cited
A note on patch-based low-rank minimization for fast image denoising
Haijuan Hu, Jacques Froment, Quansheng Liu
Patch-based low-rank minimization for image processing attracts much attention in recent years. The minimization of the matrix rank coupled with the Frobenius norm data fidelity ca…
cs.CV2014
Removing Mixture of Gaussian and Impulse Noise by Patch-Based Weighted Means
Haijuan Hu, Bing Li, Quansheng Liu
We first establish a law of large numbers and a convergence theorem in distribution to show the rate of convergence of the non-local means filter for removing Gaussian noise. We th…