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De-noising Method for Echocardiographic Images Based on the Second-Generation Curvelet Transform

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 355)

Abstract

As a novel multiscale transform, curvelet transform has the ability to give a better sparse representation of images with singularity along curves. After analyzing the second-generation curvelet transform, this work presents a new de-noising technique for echocardiographic images corrupted with speckle noise. We employed this new technique, nonlinear diffusion based on total variation, to suppress artifacts resulting from curvelet transform. The results show that this method gives better performance in noise suppression while preserving the edges of echocardiographic images, compared to existing methods. The application of curvelet transform reveals its great potential in echocardiographic image processing.

Keywords

Echocardiographic images Image de-noising Speckle noise Curvelet transform Nonlinear diffusion 

Notes

Acknowledgement

This work was supported by the basic research project of Shanghai Science and Technology Commission (12JC1406600).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of PediatricsXinhua Hospital, School of Medicine, Shanghai Jiaotong UniversityShanghaiChina
  2. 2.Department of Electronic EngineeringFudan UniversityShanghaiChina
  3. 3.Department of Pediatric Cardiology, Xinhua Hospital, School of MedicineShanghai Jiaotong UniversityShanghaiChina

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