An Efficient Algorithm for Denoising MR and CT Images Using Digital Curvelet Transform-Reference-Cited by-同舟云学术

An Efficient Algorithm for Denoising MR and CT Images Using Digital Curvelet Transform

Published:2011 Issue: Volume: Page:471-480
ISSN:0065-2598
Container-title:Advances in Experimental Medicine and Biology
language:
Short-container-title:

Author:

Hyder S. Ali,Sukanesh R.

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4419-7046-6_47.pdf

Reference12 articles.

1. Donoho D.L., Johnstone I.M., 1994. Ideal spatial adaptation via wavelet shrinkage. Biometrika, 81, pp. 425–455

2. Quan P., Pan Z., Guanzhong D. et al., 1999. Two denoising methods by wavelet transform. IEEE Trans. Signal Process., 47(12), pp. 3401–3406

3. Zhing G., Xiaohai Y., 2004. Theory and application of MATLAB Wavelet analysis tools. National Defense Industry Publisher, Beijing, pp. 108–116

4. Candes E.J., Donoho D., 1999. Curvelet surprisingly effective nonadaptive Representation for object with edges. Proceedings of Curves and Surfaces IV. France, pp. 105–121

5. Donoho D.L., 1995. De-noising by soft-thresholding. IEEE Trans. Inform. Theory, 41(3), pp. 613–627

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CT image denoising methods for image quality improvement and radiation dose reduction;Journal of Applied Clinical Medical Physics;2024-01-19

2. An iris segmentation scheme based on bendlets;Signal, Image and Video Processing;2023-12-31

3. Low-Dose COVID-19 CT Image Denoising Using Batch Normalization and Convolution Neural Network;Electronics;2022-10-19

4. CT Image Denoising Using Bilateral Filter and Method Noise Thresholding in Shearlet Domain;Emerging Technologies in Data Mining and Information Security;2022-09-29

5. Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach;Biomedical Signal Processing and Control;2021-08