L/M-fold image resizing in block-DCT domain using symmetric convolution

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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 8 x 8 block-DCT coefficients, its resized image is also obtained in 8 x 8 block-DCT coefficients. The proposed approach is computationally fast and produces visually fine images with high PSNR.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2003-09
Language
English
Article Type
Article
Keywords

COMPRESSED DOMAIN

Citation

IEEE TRANSACTIONS ON IMAGE PROCESSING, v.12, pp.1016 - 1034

ISSN
1057-7149
URI
http://hdl.handle.net/10203/1430
Appears in Collection
EE-Journal Papers(저널논문)
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