Concept
Edge-preserving smoothing
Related publications (66)
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems
The usual explanation of the efficacy of wavelet-based methods hinges on the sparsity of many real-world objects in the wavelet domain. Yet, standard wavelet-shrinkage techniques for sparse reconstruction are not competitive in practice, one reason being t ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023On combining denoising with learning-based image decoding
Touradj Ebrahimi, Michela Testolina
Noise is an intrinsic part of any sensor and is present, in various degrees, in any content that has been captured in real life environments. In imaging applications, several pre- and post-processing solutions have been proposed to cope with noise in captu ...
SPIE2022Image Denoising with Control over Deep Network Hallucination
Sabine Süsstrunk, Majed El Helou, Qiyuan Liang
Deep image denoisers achieve state-of-the-art results but with a hidden cost. As witnessed in recent literature, these deep networks are capable of overfitting their training distributions, causing inaccurate hallucinations to be added to the output and ge ...
Society for Imaging Science and Technology (IS&T)2022Penalized denoising of vehicle trajectories collected by a swarm of drones
Nikolaos Geroliminis, Emmanouil Barmpounakis, Georgios Anagnostopoulos
Vehicle trajectory datasets collected in urban traffic environments with drones pose unique chal- lenges in terms of denoising due to extensive visual restrictions, perspective distortions and human- induced errors. This article taps into the unexplored po ...
2022Evaluating measurement uncertainty in Brillouin distributed optical fibre sensors using image denoising
Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Simon Adrien Zaslawski
In 2016, our research team proposed in an issue of Nature Communications1 the use of multidimensional signal processing, especially image denoising techniques, to improve the signal-to-noise ratio (SNR) of distributed optical fibre sensors. The benefits of t ...
2021A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
In this paper, we propose a novel splitting method for finding a zero point of the sum of two monotone operators where one of them is Lipschizian. The weak convergence the method is proved in real Hilbert spaces. Applying the proposed method to composite m ...
2020Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
Sabine Süsstrunk, Majed El Helou
Blind and universal image denoising consists of using a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time. We propose a theoretically-gr ...
IEEE2020Image Restoration using Plug-and-Play CNN MAP Denoisers
Siavash Arjomand Bigdeli, David Honzátko
Plug-and-play denoisers can be used to perform generic image restoration tasks independent of the degradation type. These methods build on the fact that the Maximum a Posteriori (MAP) optimization can be solved using smaller sub-problems, including a MAP d ...
SCITEPRESS2020Symplectic Model-Reduction with a Weighted Inner Product
Jan Sickmann Hesthaven, Babak Maboudi Afkham
In the recent years, considerable attention has been paid to preserving structures and invariants in reduced basis methods, in order to enhance the stability and robustness of the reduced system. In the context of Hamiltonian systems, symplectic model redu ...
2018