A generalized adaptive model for nonlinear image restoration
- 13 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
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
This publication has 8 references indexed in Scilit:
- Image restoration by short space spectral subtractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Adaptive nonlinear filters for simultaneous removal of different kinds of noise in imagesIEEE Transactions on Circuits and Systems, 1987
- Adaptive Noise Smoothing Filter for Images with Signal-Dependent NoisePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- Nonlinear Restoration of Noisy ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1982
- Advances in mathematical models for image processingProceedings of the IEEE, 1981
- Improved Methods of Maximum a Posteriori RestorationIEEE Transactions on Computers, 1979
- Sectioned methods for image restorationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Bayesian Methods in Nonlinear Digital Image RestorationIEEE Transactions on Computers, 1977