Paper
28 December 1979 Comparison Of Digital Image Filters And A Hybrid Smoother
H. A. Titus, J. L. Pereira
Author Affiliations +
Abstract
In the recent past considerable attention has been devoted to the application of Kalman filtering to smoothing out observation noise in image data. Optimal two-dimensional Kalman filtering algorithms require large amounts of storage and computation. Thus, the study of suboptimum estimators that require less computation is of importance. A comparison of some suboptimum image filters against the optimum non-recursive interpolator is accomplished. A new semi-causal (hybrid) filter is proposed that compensates the suboptimality of a simple two-dimensional recursive filter by means of an optimal combination of its estimate and a few non-causal observations.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. A. Titus and J. L. Pereira "Comparison Of Digital Image Filters And A Hybrid Smoother", Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); https://doi.org/10.1117/12.958232
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KEYWORDS
Digital filtering

Image filtering

Digital image processing

Signal to noise ratio

Error analysis

Filtering (signal processing)

Electronic filtering

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