Review on Image Denoising using DWT Algorithm |
Author(s): |
| Bela , Galaxy Global group of institute ; Ankita Mittal, Galaxy Global group of institute |
Keywords: |
| EEMD, Wavelet transform, DWT, Decomposition |
Abstract |
|
The prime focus of this thesis is related to the pre processing of an image. The pre processing being worked upon is the de noising of images. In order to achieve this in terms of the concerned work, wavelet transforms have been applied: Discrete wavelet transform and EEMD. In this thesis, a new technique which is combination of Enhanced Empirical Mode Decomposition (EEMD), has been presented along with the standard wavelet thresholding techniques like soft and hard thresholding. And a comparative analysis of different combinations of the suggested threshold values and thresholding techniques has been carried out very efficiently. A new constraint, of either thresholding the low pass components or keeping them as such before applying the inverse DWT has also been added. This has been done in order to find more possible combinations that can lead to the best denoising technique. |
Other Details |
|
Paper ID: IJSRDV2I6043 Published in: Volume : 2, Issue : 6 Publication Date: 01/09/2014 Page(s): 37-41 |
Article Preview |
|
|
|
|
