In this paper we propose a blind deconvolution method to enhance the resolution of images obtained by near-field microwave nondestructive techniques using an open ended rectangular waveguide probe. In fact, we model such images to be the result of a convolution of the real input images with a point spread function (PSF). This PSF depends mainly on the dimensions of the waveguide, the operating frequency, the nature of the object under test and standoff distance between the waveguide and the object. Unfortunately, it is very difficult to model this PSF from the physical data. For this reason, we consider the problem as a blind deconvolution. The proposed method is based on regularization, and the solution is obtained iteratively, by successive estimations of the input and the PSF. The algorithm is initialized with a PSF obtained from a very simplified physical model. The performance of the proposed method is evaluated on some real data. Several examples of real image enhancement will be presented.

Meeting Name

Mathematical Modeling, Bayesian Estimation, and Inverse Problems (1999: Jul. 21-23, Denver, CO)


Electrical and Computer Engineering

Keywords and Phrases

Algorithms; Estimation; Functions; Mathematical Models; Microwaves; Nondestructive Examination; Optical Resolving Power; Optical Waveguides; Blind Deconvolution; Microwave Nondestructive Testing; Point Spread Function; Image Enhancement

International Standard Serial Number (ISSN)


Document Type

Article - Conference proceedings

Document Version

Accepted Manuscript

File Type





© 1999 SPIE--The International Society for Optical Engineering, All rights reserved.

Publication Date

01 Jul 1999