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Matlab Analysis of Image Smoothening By Butterworth and Gaussian Low Pass Filter
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 50 |
| Year of Publication: 2018 |
| Authors: Aditi Sharma, Vijay Maheshwari |
10.5120/ijca2018917347
|
Aditi Sharma, Vijay Maheshwari . Matlab Analysis of Image Smoothening By Butterworth and Gaussian Low Pass Filter. International Journal of Computer Applications. 179, 50 ( Jun 2018), 31-36. DOI=10.5120/ijca2018917347
Abstract
Most images have noise which creates blur and degrade the quality of image. Image analysis can be obtained by using various filtering techniques. Generally, filtering can be done in frequency domain where we use Fourier transform. In this paper we have analyzed smoothening functions like using Butterworth low pass filter Gaussian low pass filter and their adaptation function.
References
- Umbaugh Scot E, Computer Vision and Image Processing, Prentice Hall, NJ, 1988, ISBN 0-13-2645998
- Digital Image Processing, 3rd Edition, Prentice Hall, R.C.Gonzales, R.E.Woods.
- R.A. Haddad and A.N. Akansu, “A Class of Fast Gaussian Binomial Filters for Speech and Image Processing,” IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 39, pp 723-727, March 1991.
- “Computer Vision”, page 130, 137. Prentice Hall, 2001 by Shapiro, L. G. & Stockman, G. C
- Yusuf, Nijad, Sara Tedmory “Exploiting hybrid methods for enhancing digital X-ray images”. The International Arab Journal of Information Technology, Vol. 10, No.1, January 2013
- Gonzales R., Woods R., and Eddins S., Digital Image Processing Using Matlab, 2nd Edition, Prentice Hall, USA, 2003.
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