Image Denoising Based on Contourlet Technique |
Author(s): |
| P Gnanambikai , NACHIMUTHU POLYTECHNIC COLLEGE |
Keywords: |
| Image Denoising, Contourlet Technique |
Abstract |
|
In this paper to restore the original image corrupted by salt and pepper noise, Gaussian noise, Speckle noise and the Poisson noise Contourlet based image denoising algorithm is proposed. By applying contourlet transform, the noisy image is decomposed in to sub bands 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. From the simulation results it is observed that the proposed algorithm can remove Poisson and speckle noises effectively. It is well suited for images containing more curves. Our proposed threshold function gives better edge perseverance, background information, contrast stretching, in spatial domain. |
Other Details |
|
Paper ID: IJSRDV6I50208 Published in: Volume : 6, Issue : 5 Publication Date: 01/08/2018 Page(s): 294-296 |
Article Preview |
|
|
|
|
