Article Title

Periodic Noise Removal in Strain and Natural Images Using 2-D Fast Fourier Transform

Authors

Mandeep Kaur, Department of IT, M. M. Engineering College, M. M. University, Mullana, HaryanaFollow
Dinesh Kumar, Department of IT, M. M. Engineering College, M. M. University, Mullana, HaryanaFollow
Ekta Walia, Department of IT, M. M. Engineering College, M. M. University, Mullana, HaryanaFollow
Manjit Sandhu, Department of ECE, S. B. B. S. I. E. T Jalandhar, PunjabFollow

Abstract

This paper presents a 2-D FFT removal algorithm for reducing the periodic noise in natural and strain images. For the periodic pattern of the artifacts, we apply the 2-D FFT on the strain and natural images to extract and remove the peaks which are corresponding to periodic noise in the frequency domain. Further the mean filter applied to get more effective results. The performance of the proposed method is tested on both natural and strain images. The results of proposed method is compared with the mean filter based periodic noise removal and found that the proposed method significantly improved for the noise removal.

Recommended Citation

Kaur, Mandeep; Kumar, Dinesh; Walia, Ekta; and Sandhu, Manjit (2013) "Periodic Noise Removal in Strain and Natural Images Using 2-D Fast Fourier Transform," International Journal of Computer and Communication Technology: Vol. 4: Iss. 2, Article 3.
DOI: 10.47893/IJCCT.2013.1174
Available at: https://www.interscience.in/ijcct/vol4/iss2/3

DOI

10.47893/IJCCT.2013.1174