3 papers
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…
math.PR2020
Uniform Cramér moderate deviations and Berry-Esseen bounds for a supercritical branching process in a random environment
Xiequan Fan, Haijuan Hu, Quansheng Liu
Let be a supercritical branching process in an independent and identically distributed random environment. We prove Cramér moderate deviations and Berry-Esseen b…
eess.IV2019
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…