A generalization of median filtering using linear combinations of order statistics
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Summary
The optimal order statistic filter (OSF) is applied to an actual noisy image and is shown to perform well, combining properties of both the averaging and median filters.
- Type
- article
- Published
- 1983-12-01
- Cited by
- 632
- References
- 12
- OpenAlex
- https://openalex.org/W2007148047
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120364585
Keywords
Mathematics, Order statistic, Filter (signal processing), Generalization, Statistic
References
- Nonlinear (nonsuperposable) methods for smoothing data
- Small Sample Behavior of Some Robust Linear Estimators of Location
- LEAST-SQUARES ESTIMATION OF LOCATION AND SCALE PARAMETERS USING ORDER STATISTICS
- Applications of a nonlinear smoothing algorithm to speech processing
- Estimation of the Mean and Standard Deviation by Order Statistics. Part II
- A fast two-dimensional median filtering algorithm
- ESTIMATION OF THE MEAN AND STANDARD DEVIATION BY ORDER STATISTICS
- Average- and Median-Based Smoothing Techniques for Improving Digital Speech Quality in the Presence of Transmission Errors
- The Output Distribution of Median Type Filters
- Nonlinear filtering using linear combinations of order statistics
- A fast method for real-time median filtering
- Permanent Expressions for Order Statistic Densities
- Estimation of the Mean and Standard Deviation by Order Statistics. Part II
- Digital Image Processing
- Least-Squares Estimation of Location and Scale Parameters Using Order Statistics
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- Gaussian Noise Reduction using Adaptive Window Median Filter
- NDE data fusion using morphological approaches
- Design of a robust modem for power line communications
- Applications of Image Processing to Mine WarFare Sonar
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