Title :
A comparison of image filtering algorithms
Author :
Dravida, S. ; Woods, J.U. ; Shen, U.C.
Author_Institution :
Rensselaer Polytechnic Institute, Troy, New York, USA
Abstract :
This paper compares four image filtering algorithms on common data sets for various signal to noise ratios and white Gaussian noise. The algorithms are the median filter, the Wallis filter, the reduced update Kalman filter, and a multiple model, decision-directed filter. This comparison produces some surprising results from both a subjective (visual error) and a mean square error (MSE) viewpoint.
Keywords :
Data engineering; Filtering algorithms; Gaussian noise; Image processing; Maximum likelihood detection; Mean square error methods; Nonlinear filters; Signal to noise ratio; Statistics; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172540