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Pamgauss User Manual(0) Pamgauss User Manual(0)
NAME
pamgauss - create a two-dimensional Gaussian function as a PAM image
SYNOPSIS
pamgauss width height -sigma=number [-maxval=number] [-tupletype=string] [-maximize]
[-oversample=number]
Minimum unique abbreviation of option is acceptable. You may use double hyphens instead
of single hyphen to denote options. You may use white space in place of the equals sign
to separate an option name from its value.
EXAMPLES
pamgauss 7 7 -sigma=.5 -maximize -tupletype=GRAYSCALE | pamtopnm >gauss.pgm
pnmconvol -nooffset -normalize gauss.pgm myimage.ppm >blurred.ppm
DESCRIPTION
This program is part of Netpbm(1).
pamgauss generates a one-plane PAM image whose samples are a Gaussian function of their
distance from the center of the image. I.e. the sample value is highest in the center
and goes down, in a bell curve shape, as you move away from the center.
You can use this image as a convolution kernel with pnmconvol to blur an image. (This
technique is known as Gaussian blurring).
width and height are the dimensions of the image that pamgauss generates. Mathematically
speaking, they are the domain of the two-dimensional Gaussian function. If you want to be
sure you get a whole Gaussian function, make sure that you choose a standard deviation and
image dimensions so that if you made it any larger, the sample values at the edges would
be zero.
The output image is PAM. To make it usable with pnmconvol, specify -tupletype=GRAYSCALE
so pnmconvol can use it as if it were PGM. You must use the -nooffset option on pnmconvol
because zero means zero in the PAM that pamgauss generates.
Without -maximize, the sum of all the samples is equal to the image's maxval (within
rounding error). This is true even if you clip the Gaussian function by making the image
too small. This is what is normally required of a convolution kernel.
pamgauss oversamples and averages to represent the continuous Gaussian function in dis-
crete samples in the PAM output. Consider an image 11 samples wide and an oversampling
factor of 10. The samples can be thought of as contiguous squares one unit wide. The
center of the image is thus the center of the 6th sample from the left. The 3rd sample
from the left covers a range of distances from 3 to 4 units from the center of the image.
Because the oversampling factor is 10, pamgauss computes the value of the Gaussian func-
tion at 10 points evenly spaced between 3 and 4 units from the center of the image and
assigns the 3rd sample from the left the mean of those 10 values.
OPTIONS
-sigma=number
This is the standard deviation of the Gaussian function. The higher the number,
the more spread out the function is. Normally, you want to make this number low
enough that the function reaches zero value before the edge of your image.
number is in units of samples.
This option is required. There is no default.
-maximize
Causes pamgauss to use the whole dynamic range available in the output PAM image by
choosing an amplitude for the Gaussian function that causes the maximum value in
the image to be the maxval of the image.
If you select this, you probably want to normalize the output (scale the samples
down so the volume under the surface of the two-dimensional Gaussian function is
the maxval) before you use it, for example with pnmconvol's -normalize option. The
reason this is different from just not using -maximize is that this subsequent nor-
malization can be done with much more precision than can be represented in a PAM
image.
Without this option, pamgauss uses an amplitude that makes the volume under the
surface of the two-dimensional Gaussian function the maxval of the image. This
means all the samples in the image are normally considerably less than the maxval.
This option was new in Netpbm 10.79 (June 2017).
-maxval=number
This is the maxval for the output image. 65535 is almost always the best value to
use. But there may be some programs (not part of Netpbm) that can't handle a max-
val greater than 255.
The default is 255.
-tupletype=string
This is the value of the "tuple_type" attribute of the created PAM image. It can
be any string up to 255 characters.
If you don't specify this, pamgauss generates a PAM with unspecified tuple type.
-oversample=number
This sets the oversampling factor. pamgauss samples the Gaussian function this
many times, both horizontally and vertically, to get the value of each sample in
the output.
An oversampling factor of 1 means no oversampling, which means each sample is based
only on the value of the Gaussian function at the center of the sample.
The default is 5 divided by the standard deviation, rounded up to a whole number.
This option was new in Netpbm 10.79 (June 2017). Before that, it is essentially 1
- there is no oversampling.
SEE ALSO
pnmconvol(1), pamtopnm(1), pgmkernel(1), pamseq(1), pam(1)
HISTORY
pamgauss was new in Netpbm 10.23 (July 2004).
DOCUMENT SOURCE
This manual page was generated by the Netpbm tool 'makeman' from HTML source. The master
documentation is at
http://netpbm.sourceforge.net/doc/pamgauss.html
netpbm documentation 18 May 2017 Pamgauss User Manual(0)
Generated by $Id: phpMan.php,v 4.55 2007/09/05 04:42:51 chedong Exp $ Author: Che Dong
On Apache
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