期刊文献+

基于离散剪切波变换的傅里叶叠层成像算法研究 被引量:1

下载PDF
导出
摘要 本文为了提高傅里叶叠层成像的图像重建质量,提出基于离散剪切波变换的傅里叶叠层成像,将离散剪切波作为稀疏基,利用其多尺度和各向异性的特点对图像进行稀疏重构。实验证明:该算法能够显著提升图像重建质量,并且具有良好的稳定性和鲁棒性。
出处 《电子技术与软件工程》 2021年第5期130-133,共4页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING
  • 相关文献

参考文献1

二级参考文献13

  • 1DONOHO D. Compressed sensing[J]. IEEE Trans on Information Theory,2006,52 ( 4 ) : 1289-1306.
  • 2CANDES E,TAO T. Near optimal signal recovery from random projections : universal encoding strategies [ J ]. IEEE Trans on Information Theory,2006,52( 12 ) :5406-5425.
  • 3AKCAKAYA M, NAM S, HU P,et al. Compressed sensing with wavelet domain dependencies for coronary MRI :a retrospective study[ J ].IEEE Trans on Medical Imaging,2011,30(5 ) :1090-1099.
  • 4HALDAR J P, HEMANDO D, LIANG Zhi-pei. Compressed sensing MRI with random encoding[ J ]. IEEE Trans on Medical Imaging, 2011,30(4) :893-903.
  • 5OTAZO R, KIM D, AXEI. L,et al. C.mbination of compressed sensing and parallel imaging for highly accelerated first-pass cardiae perfusion MRI[ J ]. Magnetic Resonance in Medicine, 2010,64 ( 3 ) : 767- 776.
  • 6ZHAO Bo, HALDAR J P, BRINEGAR C,et al. Low rank matrix recovery fnr real-time cardiac MRI [ C ]//Proc of the 7th IEEE International Symposium on Biomedical Imaging. 2010:996-999.
  • 7GUO Kang-hui, LABATE D. Optimally sparse multidimensional representation using shearle/s[ J ]. SIAM Journal on Mathematical Analysis ,2007,39( 1 ) :298-318.
  • 8EASLEY G, I,IM W, LA BATE D. Sparse directional image representations using the discrete shearlet transform[ J ]. Applied and Computational Harmonic Analysis ,2008,25 ( 1 ) :25-46.
  • 9CANDES E J. The restricted isometry property and its implications for compressed sensing [ J ]. Comptes Rendus Mathematique, 2008, 346(9-10) :.589-592.
  • 10TROPP J A, GILBERT A C. Signal recovery, from random measuremeres via orthogonal malching pursuit [ J ]. IEEE Trans on Information Theory,2007,53( 12 ) :4655-4666.

共引文献7

同被引文献7

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部