Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Analysis of Image Restoration Techniques using Fourier and Wavelet Transform


Affiliations
1 Dept of ECE, CT Institute of Engg, Management & Tech, Jalandhar, Punjab, India
2 Giani Zail Singh College of Engg. & Technology, Bathinda, Punjab, India
3 GZS College of Engg & Tech, Bathinda, India
     

   Subscribe/Renew Journal


The task of image restoration is to restore the image removing all of the degradations present in it. This degradation may be due to the motion or due to presence of noise. This noise can be of any type such as Gaussian, salt and pepper, speckle or poisson. We have mainly considered salt and pepper noise. In this paper, standardized techniques have been used for image restoration which involves techniques using fourier transform and wavelet transform. Also, quantitative evaluation of various image restoration methods has been done based on parameters such as contrast, correlation, energy and homogeneity.


Keywords

Fourier, Inverse, Wavelet, Weiner.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 200

PDF Views: 3




  • Analysis of Image Restoration Techniques using Fourier and Wavelet Transform

Abstract Views: 200  |  PDF Views: 3

Authors

Poonam Galhotra
Dept of ECE, CT Institute of Engg, Management & Tech, Jalandhar, Punjab, India
Neeraj Gill
Giani Zail Singh College of Engg. & Technology, Bathinda, Punjab, India
R. K. Bansal
GZS College of Engg & Tech, Bathinda, India

Abstract


The task of image restoration is to restore the image removing all of the degradations present in it. This degradation may be due to the motion or due to presence of noise. This noise can be of any type such as Gaussian, salt and pepper, speckle or poisson. We have mainly considered salt and pepper noise. In this paper, standardized techniques have been used for image restoration which involves techniques using fourier transform and wavelet transform. Also, quantitative evaluation of various image restoration methods has been done based on parameters such as contrast, correlation, energy and homogeneity.


Keywords


Fourier, Inverse, Wavelet, Weiner.