Non-local methods for image denoising and inpainting have gained considerable attention
in recent years. This is in part due to their superior performance in textured images, a known …

Total variation methods and similar approaches based on regularizations with ℓ 1-type
norms (and seminorms) have become a very popular tool in image processing and inverse …

In the Rudin–Osher–Fatemi (ROF) image denoising model, total variation (TV) is used as a
global regularization term. However, as we observe, the local interactions induced by TV do …

We examine the general regularization model which is based on total-variation for the
structural part and a Hilbert-space norm for the oscillatory part. This framework generalizes …

We propose in this paper a total variation based restoration model which incorporates the
image acquisition model z= h* U+ n (where z represents the observed sampled image, U is …

The main purpose of this paper is to develop the mathematical analysis of anisotropic total
variation problems with a degenerate metric and the computation of the associated Cheeger …

We propose a restoration algorithm for band limited images that considers irregular
(perturbed) sampling, denoising, and deconvolution. We explore the application of a family …

提出一种消除不规则采样的遥感图像复原方法, 该方法结合了ACT 算法和总变差(TV)
图像复原模型以达到同时去除多种图像退化因素的目的, 并且结合非局部均值(NLM) …

This paper is devoted to the total variation (TV) based approach to image denoising and
restoration. The restored image minimizes total variation in the class of images which satisfy …

This paper explores new aspects of the image decomposition problem using modern
variational techniques. We aim at splitting an original image f into two components u and v …