Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Electrical Engineering

First Advisor's Name

Frank M. Candocia

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Annando Barreto

Third Advisor's Name

Jean Andrian

Date of Defense

8-1-2005

Abstract

Image deconvolution, also known as image restoration, is concerned with the estimation of an uncorrupted image from a noisy, degraded one. The degradation of this image may be caused by defects of optical lenses, nonlinearity of the electro-optical sensor, relative motion between an object and camera, wrong focus, etc. By assuming a degradation model, one can formulate and develop a restoration algorithm. In this thesis, the developed algorithms are iterative deconvolution methods based on noise moment and pixel range constraints. The moments were used to ensure that noise associated with the deconvolution solution satisfies predetermined statistics. The pixel range constraints were also used to ensure the solution is within predetermined pixel value bounds. This addresses the critical issue of noise amplification at those frequencies where the point-spread function (the blurring function) contains frequency nulls. The solution’s dependence on the number of moments is examined and the performance of the deconvolution approach is compared with existing and well established deconvolution methods such as Wiener filtering and inverse filtering.

Identifier

FI14062269

Comments

If you are the rightful copyright holder of this dissertation or thesis and wish to have it removed from the Open Access Collection, please submit a request to dcc@fiu.edu and include clear identification of the work, preferably with URL.

Download

Share

COinS
 

Rights Statement

Rights Statement

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).