vol20no4pa2

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Tikrit Journal of Engineering Sciences (2013) 20(4) 11-22

A Contourlet-Based Image Denoising Technique with Coefficient Threshold Level Estimation

Akram A. Dawood
Computer Eng. Dept., Mosul University, Iraq

Abstract

In this paper, a new image denoising technique is proposed based on contourlet transform. Many random images are generated simulating the standard deviation level of the original noisy image and the contourlet threshold level is then calculated based on such simulations. Different contourlet coefficients are thresholded by such precalculated contourlet thresholds indicating a nonlinear thresholding manner. The resulting denoised images posses the superiority of the proposed technique over three other recents. Subjective and objective measurements of the proposed technique support such superiority.

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KeywordsContourlet Transform, Laplacian Pyramid, Directional Filter Banks and Random Images.

How to cite

TJES: Dawood AA. A Contourlet-Based Image Denoising Technique with Coefficient Threshold Level EstimationTikrit Journal of Engineering Sciences 2013; 20(4): 11-22.
APA: Dawood, A. A. (2013). A Contourlet-Based Image Denoising Technique with Coefficient Threshold Level Estimation. Tikrit Journal of Engineering Sciences, 20(4), 11-22.