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Reducing frequency-domain artifacts of binary image due to coarse sampling by repeated interpolation and smoothing of Radon projections  ( SCI-EXPANDED收录 EI收录)   被引量:2

文献类型:期刊文献

英文题名:Reducing frequency-domain artifacts of binary image due to coarse sampling by repeated interpolation and smoothing of Radon projections

作者:Zhang, Peizhen[1,2];Wang, Shuozhong[1];Wang, Runtian[3]

机构:[1]Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China;[2]Guangdong Ocean Univ, Sch Informat, Zhanjiang 524088, Peoples R China;[3]Chinese Acad Sci, Shanghai Acoust Lab, Shanghai 200032, Peoples R China

年份:2012

卷号:23

期号:5

起止页码:697

外文期刊名:JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

收录:SCI-EXPANDED(收录号:WOS:000314145400002)、、EI(收录号:20122315086620)、Scopus(收录号:2-s2.0-84860552357)、WOS

基金:This work was supported by the Natural Science Foundation of China under the Grant No. 61071187.

语种:英文

外文关键词:Discrete Radon transform; Radon projection; Fourier slice theorem; Polar coordinate interpolation; Low-pass filtering; Fourier diffraction theorem; Acoustic tomography; Interpolation-smoothing-decimation

外文摘要:We develop a method to calculate 2D spectrum of a binary image with better quality than that obtained via direct 2D-FFT. With FFT, jagged edges of objects due to coarse sampling introduce artifacts into the frequency domain, especially in the high-frequency area. With the proposed method, Radon projections of the binary image along lines at different viewing angles are calculated. Each projection is extended by interpolation, then smoothed and decimated. The interpolation-smoothing-decimation operation is repeated several times to reduce ruggedness and improve quality of the Radon projections considerably. One-dimensional FFT of each refined Radon projection is calculated, resulting in a set of frequency-domain samples distributed on a polar coordinate system. These samples are interpolated onto a Cartesian grid to give the required 2D spectrum of the sampled binary image. Numerical computations on several objects show that the method can provide significant improvement to the spectrum as compared with direct 2D-FFT. (C) 2012 Elsevier Inc. All rights reserved.

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