Paper
19 July 2013 Curvelet-based bilinear interpolation method for low-dose CT
Bo Meng, Huiqin Jiang, Zhanwei Liu, Zhongyong Wang, Yumin Liu
Author Affiliations +
Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88783X (2013) https://doi.org/10.1117/12.2030550
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Meng, Huiqin Jiang, Zhanwei Liu, Zhongyong Wang, and Yumin Liu "Curvelet-based bilinear interpolation method for low-dose CT", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783X (19 July 2013); https://doi.org/10.1117/12.2030550
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KEYWORDS
Computed tomography

Image quality

Wavelets

Image processing

Image segmentation

3D image processing

3D image reconstruction

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