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Proceedings Paper

Curvelet-based bilinear interpolation method for low-dose CT
Author(s): Bo Meng; Huiqin Jiang; Zhanwei Liu; Zhongyong Wang; Yumin Liu
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Paper Abstract

In this paper, a curvelet-based noise suppression bilinear interpolation method for low-dose CT images is proposed. Curvelets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets. Because the traditional linear interpolation results in boundary fuzziness in interpolated images, combined with the advantages of curvelet transform, here we propose a curvelet-based modified bilinear interpolation to improve the accuracy of interpolation. Extensive experiments indicate that the proposed method can effectively improve the quality of the obtained target image based on low-dose CT images and the produced slice image is similar to original slice image.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783X (19 July 2013); doi: 10.1117/12.2030550
Show Author Affiliations
Bo Meng, Zhengzhou Univ. (China)
Huiqin Jiang, Zhengzhou Univ. (China)
Zhanwei Liu, Zhengzhou Univ. (China)
Zhongyong Wang, Zhengzhou Univ. (China)
Yumin Liu, Zhengzhou Univ. (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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