MLS_SHORT

Section: User Commands (1)
Updated: 8th May 1985
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NAME

mls_short - suppress random noise in an image (short format)  

SYNOPSIS

mls_short [bigsize [smallsize]] [-pN]  

DESCRIPTION

mls_short uses maximum likelihood smoothing technique to suppress random noise in an image. The option bigsize is an integer which specifies the length of the side of the window in which mls_short is computed and defaults to 3. The option smallsize is an integer which specifies the length of the side of the windows which make up the original window, to find the window with the greatest concentration of the nearest neighbours. It defaults to (bigsize + 1) / 2. N is an integer which specifies the percentage of the nearest neighbours in the original window which have the closest gray levels to that of the central pixel and it defaults to 62. The input pixel format must be short integers. See S.L.Hurt and A.Rosenfeld, "Noise Reduction in Three-Dimensional Digital Images", Pattern Recognition, Vol.17, No.4, pp407-421, (1984).

 

SEE ALSO

mean(1), nns(1), sas(1), median(1)

 

AUTHOR

Peter Mowforth and Jin Zhengping - 8/5/1985 version to handle short format: Brian Tierney, LBL


 

Index

NAME
SYNOPSIS
DESCRIPTION
SEE ALSO
AUTHOR

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