USING MINIMUM MEAN SQUARED ERROR ESTIMATOR FOR QUALITY IMPROVEMENT OF ABDOMINAL COMPUTERIZED TOMOGRAPHY IMAGES BASED ON A BIVARIATE LAPLACIAN MIXTURE MODEL FOR COMPLEX WAVELET COEFFICIENT

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RABANI HOSSEIN; VAFA DOUST M.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2009 | Volume:7 | Issue:2 Page(s): 162-169

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Title

USING MINIMUM MEAN SQUARED ERROR ESTIMATOR FOR QUALITY IMPROVEMENT OF ABDOMINAL COMPUTERIZED TOMOGRAPHY IMAGES BASED ON A BIVARIATE LAPLACIAN MIXTURE MODEL FOR COMPLEX WAVELET COEFFICIENT

Author(s)

RABANI HOSSEIN | VAFA DOUST M. | Issue Writer Certificate

Keywords

DISCRETE COMPLEX WAVELET TRANSFORMQ3

MINIMUM MEAN SQUARED ERRORQ3

BIVARIATE MODELSQ3

MIXTURE MODELSQ2

Abstract

One of the important subjects in the wavelet-based image denoising based on the Bayes theorem is choosing the appropriate density function for modeling the wavelet coefficients. The interscale dependency between parent and child coefficients is one of the statistical properties of wavelets. So, in the recent years instead of univariate distribution, bivariate density functions have been suggested by the researchers and in this paper we use a mixture of bivariate Laplacian densities for this reason. Using this distribution we are able to model both heavy-tailed property and interscale dependency of wavelets. Using the mentioned density function for a MINIMUM MEAN SQUARED ERROR estimator, we obtain a new shrinkage function for denoising. Applying this function to each subband of DISCRETE COMPLEX WAVELET TRANSFORM of abdominal computerized tomography images, we will be able to improve the quality of these images better than some reported methods.

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APA: Copy

RABANI, HOSSEIN, & VAFA DOUST, M.. (2009). USING MINIMUM MEAN SQUARED ERROR ESTIMATOR FOR QUALITY IMPROVEMENT OF ABDOMINAL COMPUTERIZED TOMOGRAPHY IMAGES BASED ON A BIVARIATE LAPLACIAN MIXTURE MODEL FOR COMPLEX WAVELET COEFFICIENT. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 7(2), 162-169. SID. https://sid.ir/paper/53795/en

Vancouver: Copy

RABANI HOSSEIN, VAFA DOUST M.. USING MINIMUM MEAN SQUARED ERROR ESTIMATOR FOR QUALITY IMPROVEMENT OF ABDOMINAL COMPUTERIZED TOMOGRAPHY IMAGES BASED ON A BIVARIATE LAPLACIAN MIXTURE MODEL FOR COMPLEX WAVELET COEFFICIENT. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2009;7(2):162-169. Available from: https://sid.ir/paper/53795/en

IEEE: Copy

HOSSEIN RABANI, and M. VAFA DOUST, “USING MINIMUM MEAN SQUARED ERROR ESTIMATOR FOR QUALITY IMPROVEMENT OF ABDOMINAL COMPUTERIZED TOMOGRAPHY IMAGES BASED ON A BIVARIATE LAPLACIAN MIXTURE MODEL FOR COMPLEX WAVELET COEFFICIENT,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 7, no. 2, pp. 162–169, 2009, [Online]. Available: https://sid.ir/paper/53795/en

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