Title :
Adaptive recursive image filtering
Author :
Erler, Kevin ; Jernigan, Ed
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
An edge preserving smoothing filter for images distorted by additive noise is developed as an example of recursive adaptive filtering. The filter attempts to minimize the local squared-error in each neighborhood of pixels. Its performance is compared to the original nonrecursive version of the same filter
Keywords :
adaptive filters; digital filters; filtering and prediction theory; picture processing; adaptive recursive image filtering; additive noise; edge preserving smoothing filter; local squared-error; performance; Adaptive filters; Additive noise; Design engineering; Filtering; Image processing; Nonlinear filters; Signal processing; Smoothing methods; Stability; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.151038
