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Proceedings Paper

Nonlinear Optical Median Filtering By Time-Sequential Threshold Decomposition
Author(s): James M. Hereford; William T. Rhodes
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Paper Abstract

Median filtering of binary imagery can be performed by optically convolving the input image with a disk or other binary spread function and thresholding the output. This technique can be applied to median filtering of gray-scale images if the input is decomposed into a sequence of binary "slices" by a variable thresholding operation (threshold decomposition). The binary slices are median-filtered and are then added to produce the output gray-scale image. Median filtering to remove "salt-and-pepper" noise from a gray-scale image is demonstrated. The use of gray-scale (as opposed to binary) convolution kernels allows extension of the method to a more general class of nonlinear filtering operations. Comparisons with recently proposed spatial multiplexing (as opposed to time-sequential) methods are made.

Paper Details

Date Published: 18 July 1988
PDF: 8 pages
Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); doi: 10.1117/12.947045
Show Author Affiliations
James M. Hereford, Georgia Institute of Technology (United States)
William T. Rhodes, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 0939:
Hybrid Image and Signal Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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