6 April 1998 Designing robust binary filters
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Proceedings Volume 3304, Nonlinear Image Processing IX; (1998); doi: 10.1117/12.304598
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Optimal binary filters estimate an ideal random set by means of an observed random set. By parameterizing the ideal and observation random sets, one can examine the robustness of filter design relative to parameter states. This paper addresses the question as to which states possess the most robust optimal filters. Based on the prior distribution of the states, a measure of robustness is defined for each state and the state possessing maximal robustness is determined. The paper focuses on sparse noise, for which an analytic formulation of robustness is known. It proposes a parametric model from which to approximate robustness by estimating model parameters from image data.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artyom M. Grigoryan, Edward R. Dougherty, "Designing robust binary filters", Proc. SPIE 3304, Nonlinear Image Processing IX, (6 April 1998); doi: 10.1117/12.304598; http://dx.doi.org/10.1117/12.304598

Image filtering

Optimal filtering

Data modeling

Image processing

Binary data

Digital filtering

Electrical engineering

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