Title :
Adaptive Wiener filter implementation for image processing
Author :
Ponomarev, V.I. ; Pogrebniak, A.B.
Author_Institution :
Kharkov Aviation Inst.
Abstract :
A novel adaptive Wiener filter solution has been derived for digital image processing applications. It uses a local variance field of the distorted image, which permits one to bypass a priori knowledge about statistical properties of the original image. The adaptive filter derived and presented in this paper showed good noise suppression ability and produced good edge sharpness
Keywords :
Gaussian noise; Wiener filters; adaptive filters; filtering theory; image processing; image restoration; adaptive Wiener filter; digital image processing; distorted image; edge sharpness; local variance field; noise suppression; statistical properties; Adaptive filters; Convolution; Covariance matrix; Gaussian noise; Image processing; Image restoration; Kernel; Optical distortion; Smoothing methods; Wiener filter;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on
Conference_Location :
Lviv
Print_ISBN :
0-7803-3291-1
DOI :
10.1109/MMET.1996.565693
