DSpace at EWHA: Image Restoration using a Wiener Filter

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DC Field	Value	Language
dc.contributor.advisor	Lee, June-Yub	-
dc.contributor.author	Kim, Inmi	-
dc.creator	Kim, Inmi	-
dc.date.accessioned	2016-08-25T04:08:00Z	-
dc.date.available	2016-08-25T04:08:00Z	-
dc.date.issued	2004	-
dc.identifier.other	OAK-000000009545	-
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/178323	-
dc.identifier.uri	http://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000009545	-
dc.description.abstract	In this paper, we will study image processing in the frequency domain and its related Fourier transforms. Filtering in the frequency domain is essentially the same with filtering in the spatial domain, so we have a choice of using the domain that will be easier and faster in calculating or making filtering algorithms. Furthermore, we will see the properties of energy distribution of an image. Synthetically, a nice filter, known as the Wiener filter, is shown and will be implemented for analysis.	-
dc.description.tableofcontents	목차 1 Introduction = 1 1.1 Image Processing in the Frequency Domain = 1 1.2 Discrete Fourier Transform = 2 1.3 Fast Fourier Transform = 4 2 Filtering in the Frequency Domain = 7 3 Energy Distribution of Image = 13 4 Image Restoration in the Frequency Domain = 17 4.1 Image Restoration = 17 4.2 Wiener Filter = 18 4.3 Numerical examples using a Wiener filter = 21 5 Conclusions = 26	-
dc.format	application/pdf	-
dc.format.extent	7746858 bytes	-
dc.language	eng	-
dc.publisher	The Graduate School of Ewha Womans University	-
dc.title	Image Restoration using a Wiener Filter	-
dc.type	Master's Thesis	-
dc.creator.othername	김인미	-
dc.format.page	ii, 28 p.	-
dc.identifier.thesisdegree	Master	-
dc.identifier.major	대학원 수학과	-
dc.date.awarded	2005. 2	-