A review of image denoising algorithms, with a new one

A Buades, B Coll, JM Morel - Multiscale modeling & simulation, 2005 - SIAM
The search for efficient image denoising methods is still a valid challenge at the crossing of
functional analysis and statistics. In spite of the sophistication of the recently proposed …

[PDF][PDF] Recent developments in total variation image restoration

T Chan, S Esedoglu, F Park, A Yip - Mathematical Models of …, 2005 - ww3.math.ucla.edu
Since their introduction in a classic paper by Rudin, Osher and Fatemi [26], total variation
minimizing models have become one of the most popular and successful methodology for …

Image dehazing by an artificial image fusion method based on adaptive structure decomposition

M Zheng, G Qi, Z Zhu, Y Li, H Wei… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …

Application of integrated steganography and image compressing techniques for confidential information transmission

BK Pandey, D Pandey, S Wairya… - Cyber security and …, 2022 - Wiley Online Library
In the present day, images and videos account for nearly 80% of all the data transmitted
during our daily activities. This work employs a combination of novel stegnography and data …

Signal recovery by proximal forward-backward splitting

PL Combettes, VR Wajs - Multiscale modeling & simulation, 2005 - SIAM
We show that various inverse problems in signal recovery can be formulated as the generic
problem of minimizing the sum of two convex functions with certain regularity properties …

Nonlocal operators with applications to image processing

G Gilboa, S Osher - Multiscale Modeling & Simulation, 2009 - SIAM
We propose the use of nonlocal operators to define new types of flows and functionals for
image processing and elsewhere. A main advantage over classical PDE-based algorithms …

An iterative regularization method for total variation-based image restoration

S Osher, M Burger, D Goldfarb, J Xu, W Yin - Multiscale Modeling & …, 2005 - SIAM
We introduce a new iterative regularization procedure for inverse problems based on the
use of Bregman distances, with particular focus on problems arising in image processing …

[图书][B] Mathematical problems in image processing: partial differential equations and the calculus of variations

G Aubert, P Kornprobst, G Aubert - 2006 - Springer
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus
of Variations | SpringerLink Skip to main content Advertisement SpringerLink Log in Menu …

Simultaneous structure and texture image inpainting

M Bertalmio, L Vese, G Sapiro… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
An algorithm for the simultaneous filling-in of texture and structure in regions of missing
image information is presented in this paper. The basic idea is to first decompose the image …

Bilateral filtering: Theory and applications

S Paris, P Kornprobst, J Tumblin… - … and Trends® in …, 2009 - nowpublishers.com
The bilateral filter is a non-linear technique that can blur an image while respecting strong
edges. Its ability to decompose an image into different scales without causing haloes after …