Title :
A generalized adaptive model for nonlinear image restoration
Author :
Zervakis, M.E. ; Venetsanopoulos, A.N.
Author_Institution :
Toronto Univ., Ont., Canada
Abstract :
An investigation is conducted of noniterative algorithms for the nonlinear image restoration problem. A general, nonlinear image formation model is considered in conjunction with a minimum-mean-square-error (MMSE) restoration approach. For a logarithmic nonlinearity, a filter is analytically derived. The introduction of a combined objective function compensates for the stationarity assumption, incorporating local adaptivity in the nonlinear filter. The nonlinear restoration algorithms introduced are demonstrated through an example
Keywords :
computerised picture processing; MMSE; generalized adaptive model; local adaptivity; logarithmic nonlinearity; minimum-mean-square-error; noniterative algorithms; nonlinear filter; nonlinear image formation model; nonlinear image restoration; Digital systems; Image analysis; Image restoration; Information filtering; Information filters; Mean square error methods; Nonlinear equations; Nonlinear filters; Pixel; Statistics;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100279
