Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정제창 | - |
dc.date.accessioned | 2018-04-02T06:46:42Z | - |
dc.date.available | 2018-04-02T06:46:42Z | - |
dc.date.issued | 2013-08 | - |
dc.identifier.citation | OPTICAL ENGINEERING , 52(8), pp.083101 | en_US |
dc.identifier.issn | 0091-3286 | - |
dc.identifier.uri | https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-52/issue-8/083101/Remote-sensing-image-enhancement-based-on-singular-value-decomposition/10.1117/1.OE.52.8.083101.short?SSO=1 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/54813 | - |
dc.description.abstract | A satellite image enhancement method based on singular value decomposition (SVD) is presented. The proposed method consists mainly of four steps: image decomposition, adjustable contrast enhancement, noise reduction, and image composition. The method decomposes an image into its singular values, from which the luminance information can be obtained using SVD. In turn, adjustable contrast enhancement is applied by changing the singular values, which are controlled by characteristic-based contrast-level parameters. In the noise reduction process, the high-frequency elements, such as noise, are removed using rank approximation. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve color consistency. Experimental results show that the proposed scheme has less noise than the conventional methods and improves contrast performance while preserving details. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) | en_US |
dc.description.sponsorship | This research was supported by The Ministry of Knowledge Economy (MKE), Korea, under the Information Technology Research Center (ITRC) support program supervised by the National IT Industry Promotion Agency (NIPA) (NIPA-2013-H0301-13-1011). | en_US |
dc.language.iso | en | en_US |
dc.publisher | SPIE - THE INT SOC FOR OPTICAL ENGINEERING | en_US |
dc.subject | remote sensing image enhancement | en_US |
dc.subject | contrast enhancement | en_US |
dc.subject | noise reduction | en_US |
dc.subject | singular value decomposition | en_US |
dc.title | Remote sensing image enhancement based on singular value decomposition | en_US |
dc.type | Article | en_US |
dc.relation.no | 8 | - |
dc.relation.volume | 52 | - |
dc.identifier.doi | 10.1117/1.OE.52.8.083101 | - |
dc.relation.page | 10101-10110 | - |
dc.relation.journal | OPTICAL ENGINEERING | - |
dc.contributor.googleauthor | Ha, C. | - |
dc.contributor.googleauthor | Kim, W. | - |
dc.contributor.googleauthor | Jeong, J. | - |
dc.relation.code | 2013011555 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | jjeong | - |
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