Iterative Methods for Image Restoration

Phase Only Synthesis of Antenna Patterns Using Iterative Restoration Methods

In this work, the method of iterative Fourier transform phase reconstruction, conventionally used in holography and optical image reconstruction, is applied to phase only synthesis of antenna patterns. The method is applied to two types of pattern synthesis problems: "main lobe beam shaping" and "side-lobe-level reduction". The proposed method is most useful in the efficient employment of attai...

Application of iterative Jacobi method for an anisotropic diusion in image processing

Image restoration has been an active research area. Dierent formulations are eective in high qualityrecovery. Partial Dierential Equations (PDEs) have become an important tool in image processingand analysis. One of the earliest models based on PDEs is Perona-Malik model that is a kindof anisotropic diusion (ANDI) lter. Anisotropic diusion lter has become a valuable tool indierent elds of image...

A New Iterative Fuzzy-Based Method for Image Enhancement (RESEARCH NOTE)

This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...

Iterative Methods for Total Variation Image Restoration 1

Accelerating Convergence of Iterative Image Restoration Algorithms

Iterative methods are often used for applications in science and engineering to solve very large scale linear systems. Efficiency of an iterative method depends on the amount of computation needed per iteration, as well as on the number of iterations needed to reconstruct the desired approximate solution. Convergence speed can be accelerated using a technique called preconditioning. Although pr...