18 July 1988 Nonlinear Optical Median Filtering By Time-Sequential Threshold Decomposition
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James M. Hereford, James M. Hereford, William T. Rhodes, William T. Rhodes, } "Nonlinear Optical Median Filtering By Time-Sequential Threshold Decomposition", Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); doi: 10.1117/12.947045; https://doi.org/10.1117/12.947045
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