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

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Image 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.
Advisors
Park, Hyun-Wookresearcher박현욱researcher
Description
한국과학기술원 : 전기및전자공학전공,
Publisher
한국과학기술원
Issue Date
2005
Identifier
245055/325007  / 000985136
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학전공, 2005.2, [ viii, 100 p. ]

Keywords

Symmetric convolution; Image resizing; Downsampling; Block DCT; Upsampling; 업샘플링; 대칭중첩합; 영상크기변환; 다운샘플링; 블록DCT

URI
http://hdl.handle.net/10203/35289
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=245055&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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