A generalized adaptive model for nonlinear image restoration

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...

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Bibliographic Details
Published in1989 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 29 - 32 vol.1
Main Authors Zervakis, M.E., Venetsanopoulos, A.N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1989
Subjects
Digital systems
Image analysis
Image restoration
Information filtering
Information filters
Mean square error methods
Nonlinear equations
Nonlinear filters
Pixel
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Summary: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.< >
DOI:10.1109/ISCAS.1989.100279