L/M-fold Image Resizing using Symmetric convolution = 이산 여현 영역에서 대칭 콘볼루션을 이용한 L/M배로 영상 크기 변환

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dc.contributor.advisorPark, Hyun-Wook-
dc.contributor.advisor박현욱-
dc.contributor.authorPark, Young-Seo-
dc.contributor.author박영서-
dc.date.accessioned2011-12-14-
dc.date.available2011-12-14-
dc.date.issued2005-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=245055&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/35289-
dc.description학위논문(박사) - 한국과학기술원 : 전기및전자공학전공, 2005.2, [ viii, 100 p. ]-
dc.description.abstractImage resizing is to change an image size by upsampling or downsampling of a digital image. Most still images and video frames are given in a compressed domain on digital media. Image resizing of a compressed image can be performed in a spatial domain via decompression and recompression. In general, resizing of a compressed image in a compressed domain is much faster than that in a spatial domain. In this paper, we propose a novel approach to resize images with L/M resizing ratio in the discrete cosine transform (DCT) domain, which exploits the multiplication-convolution property of DCT (the multiplication in spatial domain corresponds to the symmetric convolution in DCT domain). When an image is given in terms of its block-DCT coefficients, its resized image is also obtained in block-DCT coefficients. The proposed approach is computationally fast and produces visually fine images with high PSNR.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectSymmetric convolution-
dc.subjectImage resizing-
dc.subjectDownsampling-
dc.subjectBlock DCT-
dc.subjectUpsampling-
dc.subject업샘플링-
dc.subject대칭중첩합-
dc.subject영상크기변환-
dc.subject다운샘플링-
dc.subject블록DCT-
dc.titleL/M-fold Image Resizing using Symmetric convolution = 이산 여현 영역에서 대칭 콘볼루션을 이용한 L/M배로 영상 크기 변환-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN245055/325007 -
dc.description.department한국과학기술원 : 전기및전자공학전공, -
dc.identifier.uid000985136-
dc.contributor.localauthorPark, Hyun-Wook-
dc.contributor.localauthor박현욱-
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