Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise

F. Naderi; A. A. Sawchuk

doi:10.1117/12.954693

9 July 1976 Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise

F. Naderi, A. A. Sawchuk

Proceedings Volume 0074, Image Processing; (1976) https://doi.org/10.1117/12.954693
Event: Image Processing, 1976, Pacific Grove, United States

Abstract

Taking into account the chemical and optical degrading factors as well as the granularity noise results in a subjectively reasonable mathematical model for the formation and recording of photographic images. This model represents highly nonlinear observations, making the subsequent restoration difficult. When images are scanned with very small apertures on a microdensitometer, the noise is so severe that conventional estimators do not perform well. In these cases detection schemes suited to individual degraded pictures are much more effective. When the noise is not so severe, an adaptive minimum mean square error filter can be applied. This filter explicitly includes the nonlinear image formation effects and does not require the assumption of stationary image statistics.

Citation Download Citation

F. Naderi and A. A. Sawchuk "Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise", Proc. SPIE 0074, Image Processing, (9 July 1976); https://doi.org/10.1117/12.954693

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