libppm - Man Page

Each pixel contains three pixvals, each of which should contain only the values between 0 and PPM_MAXMAXVAL.

The macros PPM_GETR, PPM_GETG, and PPM_GETB retrieve the red, green, or blue sample, respectively, from the given pixel.

The PPM_ASSIGN macro assigns the given values to the red, green, and blue samples of the given pixel.

The PPM_EQUAL macro tests two pixels for equality.

The PPM_ISGRAY macro tests a pixel for being gray.  It returns true if and only if the color of pixel p is black, white, or gray.

The PPM_DEPTH macro scales the colors of pixel p according the old and new maxvals and assigns the new values to newp.  It is intended to make writing ppmtowhatever easier.

The PPM_LUMIN, PPM_CHROM_R, and PPM_CHROM_B macros determine the luminance, red chrominance, and blue chrominance, respectively, of the pixel p.  The scale of all these values is the same as the scale of the input samples (i.e. 0 to maxval for luminance, -maxval/2 to maxval/2 for chrominance).

Note that the macros do it by floating point multiplication.  If you are computing these values over an entire image, it may be significantly faster to do it with multiplication tables instead. Compute all the possible products once up front, then for each pixel, just look up the products in the tables.

ppm_init() is obsolete (at least since Netpbm 9.25 (March 2002)). Use pm_proginit() instead.

ppm_init() is identical to pm_proginit.

ppm_allocarray() allocates an array of pixels.

ppm_allocrow() allocates a row of the given number of pixels.

ppm_freearray() frees the array allocated with ppm_allocarray() containing the given number of rows.

ppm_freerow() frees a row of pixelss allocated with ppm_allocrow().

If a function in this section is called on a PBM or PGM format file, it translates the PBM or PGM file into a PPM file on the fly and functions as if it were called on the equivalent PPM file.  The format value returned by ppm_readppminit() is, however, not translated.  It represents the actual format of the PBM or PGM file.

ppm_readppminit() reads the header of a PPM file, returning all the information from the header and leaving the file positioned just after the header.

ppm_readppmrow() reads a row of pixels into the pixelrow array.  format, cols, and maxval are the values returned by ppm_readppminit().

ppm_readppm() reads an entire PPM image into memory, returning the allocated array as its return value and returning the information from the header as rows, cols, and maxval.  This function combines ppm_readppminit(), ppm_allocarray(), and ppm_readppmrow().

ppm_writeppminit() writes the header for a PPM file and leaves it positioned just after the header.

forceplain is a logical value that tells ppm_writeppminit() to write a header for a plain PPM format file, as opposed to a raw PPM format file.

ppm_writeppmrow() writes the row pixelrow to a PPM file.  For meaningful results, cols, maxval, and forceplain must be the same as was used with ppm_writeppminit().

ppm_writeppm() write the header and all data for a PPM image.  This function combines ppm_writeppminit() and ppm_writeppmrow().

ppm_nextimage() positions a PPM input file to the next image in it (so that a subsequent ppm_readppminit() reads its header).

ppm_nextimage() is analogous to pbm_nextimage(), but works on PPM, PGM, and PBM files.

ppm_check() checks for the common file integrity error where the file is the wrong size to contain all the image data.

ppm_check() is analogous to pbm_check(), but works on PPM, PGM, and PBM files.

Luminance, Chrominance (YcbCr)

    float PPM_LUMIN(pixel p);
    float PPM_CHROM_B(pixel p);
    float PPM_CHROM_R(pixel p);

PPM_LUMIN takes a pixel as an argument and returns the luminance of that pixel, with the same maxval as the pixel (e.g. if the pixel's maxval is 255, a PPM_LUMIN value of 255 means fully luminant).

PPM_CHROM_B and PPM_CHROM_R are similar, for the red and blue chrominance values.

    pixel
    ppm_color_from_ycbcr(unsigned int y, 
                         int          cb, 
                         int          cr);

ppm_color_from_ycbcr() converts in the other direction. Given luminance and chrominance, it returns a pixel value.

Hue, Saturation, Value (HSV)

    struct hsv {
        double h;  /* hue (degrees)  0..360 */
        double s;  /* saturation (0-1) */
        double v;  /* value (0-1) */
    };

    pixel
    ppm_color_from_hsv(struct hsv const hsv,
                       pixval     const maxval);

    struct hsv
    ppm_hsv_from_color(pixel  const color,
                       pixval const maxval);

These convert a color between from pixel (RGB) form and HSV.

    pixval
    ppm_saturation(pixel  const p,
                   pixval const maxval);

This gives you the saturation of a color, as a pixval.  (e.g. if the saturation of p is 50% and maxval is 100, ppm_saturation() returns 50).

Berlin-Kay Color

Brent Berlin and Paul Kay in 1969 did a study which identified a set of 11 basic colors people universally recognize.  They are:

• black
• gray
• white
• red
• orange
• yellow
• green
• blue
• violet
• purple
• brown

The bk_color type represents a color from this set:

    typedef enum {
        BKCOLOR_BLACK = 0,
        BKCOLOR_GRAY,
        BKCOLOR_WHITE,
        BKCOLOR_RED,
        BKCOLOR_ORANGE,
        BKCOLOR_YELLOW,
        BKCOLOR_GREEN,
        BKCOLOR_BLUE,
        BKCOLOR_VIOLET,
        BKCOLOR_PURPLE,
        BKCOLOR_BROWN
    } bk_color;

You can use this as an index of an array, in which case you might also want macro BKCOLOR_COUNT, which is the number of colors in the set (11).

To translate between the bk_color type and the English names of the colors, use ppm_bk_color_from_name() and ppm_name_from_bk_color():

    bk_color
    ppm_bk_color_from_name(const char * name);
    
    const char *
    ppm_name_from_bk_color(bk_color bkColor);

ppm_bk_color_from_color() tells you to which Berlin-Kay color a certain color is closest, by way of a fuzzy color matching algorithm:

    bk_color
    ppm_bk_color_from_color(pixel  color,
                            pixval maxval);

maxval is the maxval on which color is based.

ppm_color_from_bk_color() converts the opposite way: given a Berlin-Kay color, it gives the color, in pixel form, that best represents it.

    pixel
    ppm_color_from_bk_color(bk_color bkColor,
                            pixval   maxval);

maxval is the maxval on which the returned color is based.

All of the facilities in this section were new in Netpbm 10.34 (June 2006).

System Color Dictionary

Netpbm uses the system's X11 color dictionary (usually in /usr/lib/X11/rgb.txt).  This is the same file the X Window System typically uses to associate colors with their names.

The color dictionary that Netpbm uses is in the file whose name is the value of the RGBDEF environment variable.  If RGBDEF is not set, Netpbm defaults to the first existing file from this list:

• /usr/lib/X11/rgb.txt
• /usr/openwinlib/rgb.txt
• /usr/X11R6/lib/X11/rgb.txt

You can see the color names from a typical X11 color dictionary, which is probably very close to what is on your system, along with the colors, here . This website" (1) shows a bunch of other versions you could use.

Netpbm is packaged with a color dictionary.  A standard Netpbm installation installs this file as "misc/rgb.txt" in the Netpbm directory.  This color dictionary has colors from everywhere the Netpbm maintainer could find them, and is a superset of XFree 86's color dictionary.

ppm_parsecolor

ppm_parsecolor() interprets a color specification and returns a pixel of the color that it indicates.  It is the same as pnm_parsecolor , except that it returns a pixel instead of a tuple.

ppm_parsecolor2

ppm_parsecolor2() interprets a color specification and returns a pixel of the color that it indicates and warns about rounding.  It is the same as pnm_parsecolor2 , except that it returns a pixel instead of a tuple.

ppm_colorname

ppm_colorname() returns a string that describes the color of the given pixel.  If a system color dictionary is available and the color appears in it, ppm_colorname() returns the name of the color from the file.  If the color does not appear in a system color dictionary and hexok is true, ppm_colorname() returns a hexadecimal color specification triple (#rrggbb).  If a system color dictionary is available but the color does not appear in it and hexok is false, ppm_colorname() returns the name of the closest matching color in the color file.  Finally, if there is no system color dictionary available and hexok is false, ppm_colorname() fails and throws an error .

The string returned is in static libppm library storage which is overwritten by every call to ppm_colorname().

ppm_readcolornamefile

ppm_readcolornamefile() reads the entire contents of the color dictionary in the file named fileName into data structures you can use to access it easily.

The function returns all the color names as an array of null-terminated strings.  It mallocs the space for this array and returns its address at colornamesP. (*colornamesP)[i] is the address of the first character in the null-terminated string that is the name of the ith color in the dictionary.

The function also returns a colorhash_table (see Color Indexing ) that matches all these color names up to the colors they represent.  It mallocs the space for the colorhash_table and returns its address at chtP.  The number that the colorhash_table associates with each color is the index into the color name array described above of the name of that color.

You may specify a null pointer for fileName to indicate the default color dictionary.

mustOpen is a boolean.  If it is nonzero, the function fails and aborts the program if it is unable to open the specified color dictionary file.  If it is zero, though, it simply treats an unopenable color dictionary as an empty one.  The colorhash and color name array it returns contain no colors or names.

ppm_readcolornamefile() was new in Netpbm 10.15 (April 2003).

Sometimes in processing images, you want to associate a value with a particular color.  Most often, that's because you're generating a color mapped graphics format.  In a color mapped graphics format, the raster contains small numbers, and the file contains a color map that tells what color each of those small numbers refers to.  If your image has only 256 colors, but each color takes 24 bits to describe, this can make your output file much smaller than a straightforward RGB raster would.

So, continuing the above example, say you have a pixel value for chartreuse and in your output file and you are going to represent chartreuse by the number 12.  You need a data structure that allows your program quickly to find out that the number for a chartreuse pixel is 12.  Netpbm's color indexing data types and functions give you that.

colorhash_table is a C data type that associates an integer with each of an arbitrary number of colors.  It is a hash table, so it uses far less space than an array indexed by the color's RGB values would.

The problem with a colorhash_table is that you can only look things up in it.  You can't find out what colors are in it.  So Netpbm has another data type for representing the same information, the poorly but historically named colorhist_vector.  A colorhist_vector is just an array.  Each entry represents a color and contains the color's value (as a pixel) and the integer value associated with it.  The entries are filled in starting with subscript 0 and going consecutively up for the number of colors in the histogram.

(The reason the name is poor is because a color histogram is only one of many things that could be represented by it).

colorhash_table ppm_alloccolorhash()

This creates a colorhash_table using dynamically allocated storage.  There are no colors in it.  If there is not enough storage, throws an error .

void ppm_freecolorhash()

This destroys a ppm_freecolorhash and frees all the storage associated with it.

int ppm_addtocolorhash( colorhash_table cht, const pixel * const colorP, const int value)

This adds the specified color to the specified colorhash_table and associates the specified value with it.

You must ensure that the color you are adding isn't already present in the colorhash_table.

There is no way to update an entry or delete an entry from a  colorhash_table.

int ppm_lookupcolor( const colorhash_table cht, const pixel * const colorP )

This looks up the specified color in the specified colorhash_table.  It returns the integer value associated with that color.

If the specified color is not in the hash table, the function returns -1.  (So if you assign the value -1 to a color, the return value is ambiguous).

colorhist_vector ppm_colorhashtocolorhist( const colorhash_table cht,

const int ncolors )

This converts a colorhash_table to a colorhist_vector.  The return value is a new colorhist_vector which you must eventually free with ppm_freecolorhist().

ncolors is the number of colors in cht.  If it has more colors than that, ppm_colorhashtocolorhist does not create a colorhist_vector and returns NULL.

colorhash_table ppm_colorhisttocolorhash( const colorhist_vector chv,  const int ncolors )

This poorly named function does not convert from a colorhist_vector to a colorhash_table.

It does create a colorhash_table based on a colorhist_vector input, but the integer value for a given color in the output is not the same as the integer value for that same color in the input.  ppm_colorhisttocolorhash() ignores the integer values in the input.  In the output, the integer value for a color is the index in the input colorhist_vector for that color.

You can easily create a color map for an image by running ppm_computecolorhist() over the image, then ppm_colorhisttocolorhash() over the result.  Now you can use ppm_lookupcolor() to find a unique color index for any pixel in the input.

If the same color appears twice in the input, ppm_colorhisttocolorhash() throws an error .

ncolors is the number of colors in chv.

The return value is a new colorhash_table which you must eventually free with ppm_freecolorhash().

The Netpbm libraries give you functions to examine a Netpbm image and determine what colors are in it and how many pixels of each color are in it.  This information is known as a color histogram.  Netpbm uses its colorhash_table data type to represent a color histogram.

colorhash_table ppm_computecolorhash( pixel ** const pixels, const int cols, const int rows, const int maxcolors, int* const colorsP )

This poorly but historically named function generates a colorhash_table whose value for each color is the number of pixels in a specified image that have that color.  (I.e. a color histogram).  As a bonus, it returns the number of colors in the image.

(It's poorly named because not all colorhash_tables are color histograms, but that's all it generates).

pixels, cols, and rows describe the input image.

maxcolors is the maximum number of colors you want processed.  If there are more colors that that in the input image, ppm_computecolorhash() returns NULL as its return value and stops processing as soon as it discovers this.  This makes it run faster and use less memory.  One use for maxcolors is when you just want to find out whether or not the image has more than N colors and don't want to wait to generate a huge color table if so.  If you don't want any limit on the number of colors, specify maxcolors=0.

ppm_computecolorhash() returns the actual number of colors in the image as *colorsP, but only if it is less than or equal to maxcolors.

colorhash_table ppm_computecolorhash2( FILE * const ifp, const int cols, const int rows, const pixval maxval, const int format,

const int maxcolors, int* const colorsP )

This is the same as ppm_computecolorhash() except that instead of feeding it an array of pixels in storage, you give it an open file stream and it reads the image from the file.  The file must be positioned after the header, at the raster.  Upon return, the file is still open, but its position is undefined.

maxval and format are the values for the image (i.e. information from the file's header).

colorhist_vector ppm_computecolorhist( pixel ** pixels, int cols, int rows, int maxcolors, int * colorsP )

This is like ppm_computecolorhash() except that it creates a colorhist_vector instead of a colorhash_table.

If you supply a nonzero maxcolors argument, that is the maximum number of colors you expect to find in the input image.  If there are more colors than you say in the image, ppm_computecolorhist() returns a null pointer as its return value and nothing meaningful as *colorsP.

If not, the function returns the new colorhist_vector as its return value and the actual number of colors in the image as *colorsP.  The returned array has space allocated for the specified number of colors regardless of how many actually exist.  The extra space is at the high end of the array and is available for your use in expanding the colorhist_vector.

If you specify maxcolors=0, there is no limit on the number of colors returned and the return array has space for 5 extra colors at the high end for your use in expanding the colorhist_vector.

colorhist_vector ppm_computecolorhist2( FILE * ifp, int cols, int rows, int maxcolors, pixval maxval, int format, int * colorsP )

This is the same as ppm_computecolorhist() except that instead of feeding it an array of pixels in storage, you give it an open file stream and it reads the image from the file.  The file must be positioned after the header, at the raster.  Upon return, the file is still open, but its position is undefined.