Search Results for author: Haijuan Hu

Found 4 papers, 0 papers with code

Low rank prior and l0 norm to remove impulse noise in images

no code implementations12 Sep 2022 Haijuan Hu

Patch-based low rank is an important prior assumption for image processing.

Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising

no code implementations5 Dec 2019 Haijuan Hu, Jacques Froment, Baoyan Wang, Xiequan Fan

Following the pioneering works of Rudin, Osher and Fatemi on total variation (TV) and of Buades, Coll and Morel on non-local means (NL-means), the last decade has seen a large number of denoising methods mixing these two approaches, starting with the nonlocal total variation (NLTV) model.

Image Denoising

A note on patch-based low-rank minimization for fast image denoising

no code implementations28 Jun 2015 Haijuan Hu, Jacques Froment, Quansheng Liu

Patch-based low-rank minimization for image processing attracts much attention in recent years.

Image Denoising

Removing Mixture of Gaussian and Impulse Noise by Patch-Based Weighted Means

no code implementations11 Mar 2014 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.

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