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L/M-fold image resizing in block-DCT domain using symmetric convolution
HyunWook Park; YoungSeo Park; Seung-Kyun Oh;
Image Processing, IEEE Transactions on
Volume 12,
Issue 9,
Sept. 2003
Page(s):1016
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1034
Abstract:
Image resizing is to change an image size by upsampling or downsampling of a digital image. Most still images and video frames on digital media are given in a compressed domain. Image resizing of a compressed image can be performed in the spatial domain via decompression and recompression. In general, resizing of a compressed image in a compressed domain is much faster than that in the spatial domain. 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 (multiplication in the spatial domain corresponds to symmetric convolution in the DCT domain). When an image is given in terms of its 8×8 block-DCT coefficients, its resized image is also obtained in 8×8 block-DCT coefficients. The proposed approach is computationally fast and produces visually fine images with high PSNR.
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