<title>Study on improving iterative image restoration</title>

Abstract

In the present paper we propose two new improved iterative restoration algorithms. One is to accelerate convergence of the steepest descent method using the improved search directions. The other is also a fast iterative algorithm based on preconditioning. The preconditioner in the proposed algorithm can be implemented by using FIR filter structure, so it can be applied to practical application with a manageable amount of computation. Experimental results show good performance improvement in accelerating the convergence. Although the proposed methods have a disadvantage that cannot be included in adaptive restoration, they can be used as pre-processing for adaptive algorithms.