Share Email Print
cover

Proceedings Paper

Investigations on use of fractional Fourier transform for image restoration in the Wiener and geometric mean filters
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Image restoration using Wiener and geometric mean filtering is one of the commonly used techniques in image processing applications. In this paper we propose the use of discrete fractional Fourier transform in place of conventional discrete Fourier transform (DFT) in the Wiener and geometric mean filters. The use of discrete fractional Fourier transform (DFrFT) provides us additional degree of freedom in terms of the angle parameter of the transforms which can be exploited for the purpose of image restoration. The proposed restoration filters are applied on both colored and grey images and the simulation results of the proposed technique are presented. The effect of variation of parameters of the transforms and filters are also studied under the presence of noise. It is observed that the results of the conventional Wiener and geometric mean filters are better than the filters using DFrFT except for a specific value of the angle parameter about 0.8.

Paper Details

Date Published: 28 January 2013
PDF: 6 pages
Proc. SPIE 8760, International Conference on Communication and Electronics System Design, 87601R (28 January 2013); doi: 10.1117/12.2012330
Show Author Affiliations
K. K. Sharma, Malaviya National Institute of Technology (India)
Priya Mittal, Malaviya National Institute of Technology (India)


Published in SPIE Proceedings Vol. 8760:
International Conference on Communication and Electronics System Design
Vijay Janyani; M. Salim; K. K. Sharma, Editor(s)

© SPIE. Terms of Use
Back to Top