Title

Spatially non-uniform blur analysis based on wavelet transform

Author

Yi Zhang

Date of Award

2010

Degree Name

M.S. in Electrical Engineering

Department

Department of Electrical and Computer Engineering

Advisor/Chair

Advisor: Keigo Hirakawa

Abstract

Object motion causes spatially varying blur in an image. Partial blur typically carries useful information about the scene. This information is useful for consumer imaging as well as computer vision. However, spatially varying blur also deteriorates image quality. The goals of our research are finding out this information and making images better. In this thesis we introduce a novel method for solving this partial blur problem. We define a statistical model of a spatially-varying blur image and estimate the local point spread function (PSF) by using a set of methods including double wavelet transform and local autocorrelation. Experimental results demonstrate the effectiveness of the proposed algorithm.

Keywords

Image reconstruction Mathematical models, Wavelets (Mathematics), Image processing Mathematical models, Autocorrelation (Statistics), Image reconstruction

Rights Statement

Copyright 2010, author

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