Restoration of neutron radiography images

Abstract

Neutron radiographic images have been used in a wide variety of industrial research and non-destructive testing applications since the early 1960s. Image in any form was never an exact representation of the object under observation because it is always corrupted by the imaging system itself. Neutron radiography image also encounters the same problem. Digital image restoration of image degraded by blurring and random noise is a solution to the problem. This research will try to restore the neutron radiography images with several restoration methods. The proposed methods are Weiner filter, regularized filter, Lucy-Richardson algorithm and blind deconvolution. All of the techniques were implemented using MATLAB programming to facilitate the demonstration of the effect of the methods. The result obtained will be analyzed and compared. It is shown that all the proposed methods can be used for restoration of neutron radiography images. The best and effective result for neutron radiography are by using Weiner filter with autocorrelation function and Lucy-Richardson (LR) algorithm with 500 iterations compared to other methods.