Abstract
S-transform is an effective time-frequency analysis technique, which can provide simultaneous time and frequency distribution information similar to the wavelet transform (WT). Discrete orthonormal S-transform (DOST) can reduce the redundancy of S-transform further. We introduce the ideas of wavelet transform-based image denoising into DOST domain and propose the soft-thresholding-based image denoising method using DOST. Simulations and the application in myocardial contrast echocardiography (MCE) image denoising illustrate the good performance of the proposed method and its application prospects.
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Acknowledgments
This work was supported by the National Nature Science Foundation of China under the Grant 61071053 and the Nature Science Foundation of Shandong Province under the Grant ZR2010FM012.
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© 2014 Springer India
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Sun, Fr., Babyn, P., Luan, Yh., Song, Sl., Yao, Gh. (2014). Image Denoising Using Discrete Orthonormal S-Transform. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Soft Computing Techniques and Engineering Application. Advances in Intelligent Systems and Computing, vol 250. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1695-7_50
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DOI: https://doi.org/10.1007/978-81-322-1695-7_50
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