DocumentCode
2604455
Title
Application of adaptive order statistic filters in digital image/image sequence filtering
Author
Pitas, I. ; Venetsanopoulos, A.N.
Author_Institution
Dept. of Electr. Eng., Thessaloniki Univ., Greece
fYear
1993
fDate
3-6 May 1993
Firstpage
327
Abstract
An application of adaptive order statistic filters in digital image filtering and in image sequence filtering is presented. The use of optimal minimum mean-square error (MMSE) and adaptive L-filters and L1-filters is examined in detail. It is proven that these filters adapt fairly well and remove effectively noise having various probability distributions (e.g. uniform, Gaussian, Laplacian, impulsive)
Keywords
adaptive filters; digital filters; filtering theory; image processing; image sequences; nonlinear filters; adaptive order statistic filters; digital image filtering; image sequence filtering; nonlinear digital filters; optimal minimum mean-square error; probability distributions; Adaptive filters; Digital filters; Digital images; Filtering; Gaussian noise; Image sequences; Laplace equations; Probability distribution; Statistical distributions; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.393724
Filename
393724
Link To Document