On the GSOR iteration method for image restoration

Variational Iteration Method for Image Restoration

The famous Perona-Malik (P-M) equation which was at first introduced for image restoration has been solved via various numerical methods. In this paper we will solve it for the first time via applying a new numerical method called the Variational Iteration Method (VIM) and the correspondent approximated solutions will be obtained for the P-M equation with regards to relevant error analysis. Thr...

Image Restoration using Bregman Iteration

The digital image processing refers to processing of two dimensional images by digital computer. The image restoration is the reconstruction process applied to the degraded images. The removal of noise from images can be done by filters. New techniques are involved in the field of restoration other than filters. Nonlocal Image representation has shown great potential in various low-level vision...

A global Lanczos method for image restoration

Image restoration often requires the solution of large linear systems of equations with a very ill-conditioned, possibly singular, matrix and an error-contaminated right-hand side. The latter represents the available blur and noise-contaminated image, while the matrix models the blurring. Computation of a meaningful restoration of the available image requires the use of a regularization method....

An Image Restoration Practical Method

This paper presents a frequency domain degraded image restoration practical method. We call it practical wiener filter. Using this filter, the value for K parameter of wiener filter is determined experimentally that is so difficult and time consuming. Furthermore, there is no any absolute remark to claim that the obtained images by restoration process are the best could be possible. In order to...

The variational iteration method for solving Nagumo telegraph equation