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PAM format specification(5)			   PAM format specification(5)

NAME
       pam - Netpbm common 2-dimensional bitmap format

       The  PAM	 image format is a lowest common denominator 2 dimensional map
       format.

       It is designed to be used for any of myriad kinds of graphics, but  can
       theoretically  be  used	for any kind of data that is arranged as a two
       dimensional rectangular array.  Actually, from another  perspective  it
       can be seen as a format for data arranged as a three dimensional array.

       The  name  'PAM'	 is  an acronym derived from 'Portable Arbitrary Map.'
       This derivation makes more sense if you consider it in the  context  of
       the other Netpbm format names: PBM, PGM, and PPM.

       This  format  does not define the meaning of the data at any particular
       point in the array.  It could be red, green, and blue light intensities
       such  that the array represents a visual image, or it could be the same
       red, green, and blue components plus a transparency  component,	or  it
       could  contain annual rainfalls for places on the surface of the Earth.
       Any process that uses the PAM format must further define the format  to
       specify the meanings of the data.

       A PAM image describes a two dimensional grid of tuples.	The tuples are
       arranged in rows and columns.  The width of the image is the number  of
       columns.	  The height of the image is the number of rows.  All rows are
       the same width and all columns are the same  height.   The  tuples  may
       have  any  degree,  but all tuples have the same degree.	 The degree of
       the tuples is called the depth of the image.  Each member of a tuple is
       called  a  sample.   A sample is an unsigned integer which represents a
       locus along a scale which starts at zero and ends at a certain  maximum
       value  greater than zero called the maxval.  The maxval is the same for
       every sample in the image.  The two dimensional array of	 all  the  Nth
       samples	of  each  tuple	 is called the Nth plane or Nth channel of the
       image.

       Though the basic format does not assign any meaning to the  tuple  val‐
       ues,  it	 does  include an optional string that describes that meaning.
       The contents of this string, called the tuple type, are arbitrary  from
       the  point of view of the basic PAM format, but users of the format may
       assign meaning to it by convention so they can identify their  particu‐
       lar implementations of the PAM format.  Some tuple types are defined as
       official subformats of PAM.  See Defined Tuple Types ⟨#tupletype⟩ .

       <H2 id="format_universe">The Confusing Universe of Netpbm Formats</H2>

       It is easy to get confused about the relationship between the PAM  for‐
       mat and PBM, PGM, PPM, and PNM.	Here is a little enlightenment:

       "PNM"  is not really a format.  It is a shorthand for the PBM, PGM, and
       PPM formats collectively.  It is also the name of a  group  of  library
       functions that can each handle all three of those formats.

       'PAM'  is  in  fact a fourth format.  But it is so general that you can
       represent the same information in a PAM image as you can in a PBM, PGM,
       or PPM image.  And in fact a program that is designed to read PBM, PGM,
       or PPM and does so with a recent version of the	Netpbm	library,  will
       read  an equivalent PAM image just fine and the program will never know
       the difference.

       To confuse things more, there  is  a  collection	 of  library  routines
       called the 'pam' functions that read and write the PAM format, but also
       read and write the PBM, PGM, and PPM formats.  They do this because the
       latter  formats	are much older and more popular, so even a new program
       must work with them.  Having the library handle all the	formats	 makes
       it convenient to write programs that use the newer PAM format as well.

       A convenient way to read and write the PAM format accurately is via the
       libnetpbm(1)Csubroutinelibrary.

       A PAM file consists of a sequence of one or more PAM images.  There are
       no data, delimiters, or padding before, after, or between images.

       Each PAM image consists of a header followed immediately by a raster.

       Here is an example header:

       P7 WIDTH 227 HEIGHT 149 DEPTH 3 MAXVAL 255 TUPLTYPE RGB ENDHDR

       The  header  begins with the ASCII characters 'P7' followed by newline.
       This is the magic number.

       Note: xv thumbnail images also start with the "P7" magic number.	 (This
       and  PAM	 were independent extensions to the Netpbm formats).  The rest
       of the format makes it  easy  to	 distinguish  PAM  from	 that  format,
       though).

       The  header  continues with an arbitrary number of lines of ASCII text.
       Each line ends with and is delimited by a newline character.

       Each header line consists of zero or more  whitespace-delimited	tokens
       or begins with '#'.  If it begins with '#' it is a comment and the rest
       of this specification does not apply to it.

       A header line which has zero tokens is valid but has no meaning.

       The type of header line is identified by its first token,  which	 is  8
       characters or less:

       ENDHDR This  is	the  last line in the header.  The header must contain
	      exactly one of these header lines.

       HEIGHT The second token is a decimal number representing the height  of
	      the image (number of rows).  The header must contain exactly one
	      of these header lines.

       WIDTH  The second token is a decimal number representing the  width  of
	      the  image (number of columns).  The header must contain exactly
	      one of these header lines.

       DEPTH  The second token is a decimal number representing the  depth  of
	      the  image (number of planes or channels).  The header must con‐
	      tain exactly one of these header lines.

       MAXVAL The second token is a decimal number representing the maxval  of
	      the  image.  The header must contain exactly one of these header
	      lines.

       TUPLTYPE
	      The header may contain any number of these header lines, includ‐
	      ing  zero.  The rest of the line is part of the tuple type.  The
	      rest of the line is not tokenized, but the tuple type  does  not
	      include  any  white  space immediately following TUPLTYPE	 or at
	      the very end of the line.	 It does not include  a	 newline.   If
	      there  are multiple TUPLTYPE header lines, the tuple type is the
	      concatenation of the values from each of them,  separated	 by  a
	      single  blank,  in the order in which they appear in the header.
	      If there are no TUPLTYPE header lines the tuple type is the null
	      string.

       The raster consists of each row of the image, in order from top to bot‐
       tom, consecutive with no delimiter of  any  kind	 between,  before,  or
       after, rows.

       Each  row  consists  of	every  tuple in the row, in order from left to
       right, consecutive with no delimiter of any kind	 between,  before,  or
       after, tuples.

       Each tuple consists of every sample in the tuple, in order, consecutive
       with no delimiter of any kind between, before, or after, samples.

       Each sample consists of an unsigned integer in pure binary format, with
       the  most  significant  byte first.  The number of bytes is the minimum
       number of bytes required to represent the maxval of the image.

       The maxval of an image is never greater than 65535.  (The reason it  is
       limited	is  to	make  it  easier to build an image processor, in which
       intermediate arithmetic values often have to fit within 31 or 32 bits).
       There was no specified limitation before October, 2005, but essentially
       all implementations have always observed it.

       Height and width are at least 1.

       Height and width have no defined maximum, but processors and generators
       of images usually have their own limitations.

       Some  tuple types are defined in this specification to specify official
       subformats of PAM for especially popular applications  of  the  format.
       Users  of  the  format  may also define their own tuple types, and thus
       their own subformats.

   PAM Used For Visual Images
       A common use of PAM images is to represent visual images	 such  as  are
       typically  represented  by  images  in the older and more concrete PBM,
       PGM, and PPM formats.

       Black And White (PBM)

       A black and white image, such as would be represented by a  PBM	image,
       has a tuple type of "BLACKANDWHITE".  Such a PAM image has a depth of 1
       and maxval 1 where the one sample in each tuple is  0  to  represent  a
       black  pixel  and  1  to represent a white one.	The height, width, and
       raster bear the obvious relationship to those  of  the  equivalent  PBM
       image.

       Note that in the PBM format, a zero value means white, but in PAM, zero
       means black.

       Grayscale (PGM)

       A grayscale image, such as would be represented by a PGM image,	has  a
       tuple  type  of	"GRAYSCALE".   Such a PAM image has a depth of 1.  The
       maxval, height, width, and raster  bear	the  obvious  relationship  to
       those of the equivalent PGM image.

       Color (PPM)

       A color image, such as would be represented by a PPM image, has a typle
       type of "RGB".  Such a PAM image has a depth of 3.  The maxval, height,
       width,  and  raster  bear  the obvious relationship to those of the PPM
       image.  The first plane represents red, the second blue, and the	 third
       green.

       Transparent

       Each  of	 the visual image formats mentioned above has a variation that
       contains transparency information.  In that variation, the  tuple  type
       has  '_ALPHA'  added  to it (e.g. 'RGB_ALPHA') and one more plane.  The
       highest numbered plane is the opacity plane (sometimes called an	 alpha
       plane or transparency plane).

       In  this	 kind of image, the color represented by a pixel is actually a
       combination of an explicitly specified foreground  color	 and  a	 back‐
       ground color to be identified later.

       The  planes other than the opacity plane describe the foreground color.
       A sample in the opacity plane tells how opaque the pixel is, by telling
       what  fraction  of  the	pixel's light comes from the foreground color.
       The rest of the pixel's light comes from the  (unspecified)  background
       color.

       For  example,  in  a  GRAYSCALE_ALPHA image, assume Plane 0 indicates a
       gray tone 60% of white and Plane 1 indicates opacity  25%.   The	 fore‐
       ground  color is the 60% gray, and 25% of that contributes to the ulti‐
       mate color of the pixel.	 The other  75%	 comes	from  some  background
       color.	So let's assume further that the background color of the pixel
       is full white.  Then the color of the pixel is 90% of  white:   25%  of
       the foreground 60%, plus 75% of the background 100%.

       The  sample value is the opacity fraction just described, as a fraction
       of the maxval.  Note that it is not gamma-adjusted like the  foreground
       color samples.

       Netpbm(1), pbm(1), pgm(1), ppm(1), pnm(1), libnetpbm(1)

netpbm documentation		09 October 2005	   PAM format specification(5)
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