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


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.