Paper
7 December 2001 Image enhancement using nonlinear filters with spatially adaptive neighborhoods
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Abstract
A new technique for local contrast enhancement using rank-order filters with spatially adaptive neighborhoods is proposed. The technique is based on the unsharp masking operation. However, instead a linear lowpass filtering we use various rank-order smoothing operations. The smoothing is performed over the pixels of spatially adaptive neighborhoods of details to be enhanced and their surrounding backgrounds. Various rank-order filters for local enhancement of small and middle-size details are implemented. Computer simulation results using a real aerial image are provided and discussed.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vitaly Kober, Mikhail G. Mozerov, Josue Alvarez-Borrego, and Hugo Hidalgo Silva "Image enhancement using nonlinear filters with spatially adaptive neighborhoods", Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); https://doi.org/10.1117/12.449781
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Cited by 1 scholarly publication.
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KEYWORDS
Image enhancement

Image processing

Digital filtering

Smoothing

Image filtering

Nonlinear filtering

Linear filtering

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