9 July 1976 Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise
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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.
© (1976) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Naderi, F. Naderi, A. A. Sawchuk, A. A. Sawchuk, } "Nonlinear Detection And Estimation Of Images Degraded By Film-Grain Noise", Proc. SPIE 0074, Image Processing, (9 July 1976); doi: 10.1117/12.954693; https://doi.org/10.1117/12.954693
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