3 citations · 5 across the 4 of their papers we have counts for
4 papers
Spatial-Frequency Domain Nonlocal Total Variation for Image Denoising
Haijuan Hu, Jacques Froment, Baoyan Wang +1
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 numb…
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…
Un algorithme de débruitage Non-Local means espace-fréquence (A space-frequency Non-Local means image denoising algorithm)
Simon Postec, Jacques Froment, Béatrice Vedel
The efficiency of the Non-Local means (NLM) image denoising algorithm relies on the identification of similar original pixels from noisy similar patches. Hence fine details and low…
Non-Local means est un algorithme de débruitage local (Non-Local means is a local image denoising algorithm)
Simon Postec, Jacques Froment, Béatrice Vedel
The Non-Local Means (NLM) image denoising algorithm pushed the limits of denoising. But it introduced a new paradigm, according to which one could capture the similarity of images…