Special Issue Article
Contourlet Based Image Denoising Using New- Threshold Function
In this paper contour let based image denoising algorithm which can restore the original image corrupted by salt and pepper noise, Gaussian noise, Speckle noise and the poisson noise is proposed. The noisy image is decomposed into sub bands by applying contour let transform, and then a new thresholding function is used to identify and filter the noisy co efficient and take inverse transform to reconstruct the original image. The simulation result of the proposed method is compared with other simulation results which used the various thresholding functions namely Bayes Shrink and Visu Shrink. From the simulation results it is observed that the proposed algorithm can remove poisson and speckle noises effectively.