Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain

H. Rabbani; M. Vafadoost; I. Selesnick; S. Gazor

doi:10.1109/ISSMDBS.2006.360121

Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain

H. Rabbani, M. Vafadoost, I. Selesnick, S. Gazor

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Recently, it has been shown that algorithms exploiting dependencies between coefficients for modeling probability density function (pdf) of wavelet coefficients, could achieve better results for image demising in wavelet domain compared with the ones based on the independence assumption. In this context, we design a bivariate maximum a posteriori (MAP) estimator which relies on a mixture of bivariate Gaussian models. This model not only is bivariate but also is mixture and therefore, using this new statistical model, we are able to better capture heavy-tailed natures of the data as well as the interscale dependencies of wavelet coefficients. The simulation results show that our proposed technique achieves better performance than several published methods both visually and in terms of peak signal-to-noise ratio (PSNR).

Original language	English (US)
Title of host publication	Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006
Pages	149-153
Number of pages	5
DOIs	https://doi.org/10.1109/ISSMDBS.2006.360121
State	Published - 2006
Event	2006 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006 - Cambridge, MA, United States Duration: Sep 4 2006 → Sep 6 2006

Publication series

Name	Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006

Other

Other	2006 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006
Country/Territory	United States
City	Cambridge, MA
Period	9/4/06 → 9/6/06

Keywords

Bivariate pdf
Complex wavelet transform
MAP estimator
Mixture model

ASJC Scopus subject areas

Mechanical Engineering
General Materials Science
General Medicine

Access to Document

10.1109/ISSMDBS.2006.360121

Cite this

Rabbani, H., Vafadoost, M., Selesnick, I., & Gazor, S. (2006). Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain. In Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006 (pp. 149-153). Article 4201290 (Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006). https://doi.org/10.1109/ISSMDBS.2006.360121

Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain. / Rabbani, H.; Vafadoost, M.; Selesnick, I. et al.
Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006. 2006. p. 149-153 4201290 (Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rabbani, H, Vafadoost, M, Selesnick, I & Gazor, S 2006, Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain. in Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006., 4201290, Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006, pp. 149-153, 2006 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006, Cambridge, MA, United States, 9/4/06. https://doi.org/10.1109/ISSMDBS.2006.360121

Rabbani H, Vafadoost M, Selesnick I, Gazor S. Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain. In Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006. 2006. p. 149-153. 4201290. (Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006). doi: 10.1109/ISSMDBS.2006.360121

Rabbani, H. ; Vafadoost, M. ; Selesnick, I. et al. / Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain. Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006. 2006. pp. 149-153 (Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006).

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Image denoising based on a mixture of bivariate Gaussian models in complex wavelet domain

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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