Mathematical aspects of image processing / by Samantha Kirk.

Author/creator Kirk, Samantha author.
Other author Ratcliff, Gail Dawn Loraine, degree supervisor.
Other author East Carolina University. Department of Mathematics.
Format Theses and dissertations
Publication[Greenville, N.C.] : [East Carolina University], 2014.
Description79 pages : illustrations (some color)
Supplemental ContentAccess via ScholarShip
Subjects

Summary In this thesis, image processing is explored from a mathematical point of view. After defining a digitized image, techniques for adjusting resolution are discussed. Image transformations defined on a neighborhood centered about a pixel and their relationships to convolution are considered. The Fourier transform and the discrete Fourier transform are introduced in both one and two dimensions. Properties of the Fourier transform are demonstrated with analysis of the power spectrum of an image. A degradation model is used to study image restoration, in the cases where distortion is due to noise and motion blur. Other approaches to image restoration employ the processes of inverse and Wiener filtering.
General notePresented to the faculty of the Department of Mathematics.
General noteAdvisor: Gail Ratcliff.
General noteTitle from PDF t.p. (viewed July 25, 2014).
Dissertation noteM.A. East Carolina University 2014.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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