=head1 NAME Imager::ImageTypes - Internal image representation information =head1 SYNOPSIS use Imager; $img = Imager->new(); # Empty image (size is 0 by 0) $img->open(file=>'lena.png',type=>'png'); # Read image from file $img = Imager->new(xsize=>400, ysize=>300); # RGB data $img = Imager->new(xsize=>400, ysize=>300, # Grayscale channels=>1); # $img = Imager->new(xsize=>400, ysize=>300, # RGB with alpha channels=>4); # $img = Imager->new(xsize=>200, ysize=>200, type=>'paletted'); # paletted image $img = Imager->new(xsize=>200, ysize=>200, bits=>16); # 16 bits/channel rgb $img = Imager->new(xsize=>200, ysize=>200, bits=>'double'); # 'double' floating point # per channel $img->img_set(xsize=>500, ysize=>500, # reset the image object channels=>4); # Example getting information about an Imager object print "Image information:\n"; print "Width: ", $img->getwidth(), "\n"; print "Height: ", $img->getheight(), "\n"; print "Channels: ", $img->getchannels(), "\n"; print "Bits/Channel: ", $img->bits(), "\n"; print "Virtual: ", $img->virtual() ? "Yes" : "No", "\n"; my $colorcount = $img->getcolorcount(maxcolors=>512); print "Actual number of colors in image: "; print defined($colorcount) ? $colorcount : ">512", "\n"; print "Type: ", $img->type(), "\n"; if ($img->type() eq 'direct') { print "Modifiable Channels: "; print join " ", map { ($img->getmask() & 1<<$_) ? $_ : () } 0..$img->getchannels(); print "\n"; } else { @colors = $img->getcolors(); print "Palette size: ".@colors."\n"; my $mx = @colors > 4 ? 4 : 0+@colors; print "First $mx entries:\n"; for (@colors[0..$mx-1]) { my @res = $_->rgba(); print "(", join(", ", @res[0..$img->getchannels()-1]), ")\n"; } } my @tags = $img->tags(); if (@tags) { print "Tags:\n"; for(@tags) { print shift @$_, ": ", join " ", @$_, "\n"; } } else { print "No tags in image\n"; } =head1 DESCRIPTION Imager supports various internal image representations of images. The two major classes are direct mode and paletted mode. In paletted mode an image has a numbered list of colors and the color of each pixel is determined by an index into the table. In direct mode there is no color palette and each pixel has a seperate value for red green and blue for RGB images. To complicate matters it's possible to have other color spaces than RGB, for example, gray, gray and alpha, or red, green, blue and alpha. In addition it's possible to have direct type images with 8 bits/channel 16 bits/channel or double/channel (64 bits on many systems). To query an existing image about it's parameters see the C, C, C, C, C and C methods. The coordinate system in Imager has the origin in the upper left corner, see L for details. =head2 Creating Imager Objects =over =item new $img = Imager->new(); $img->read(file=>"alligator.ppm") or die $img->errstr; Here C creates an empty image with width and height of zero. It's only useful for creating an Imager object to call the read() method on later. %opts = (xsize=>300, ysize=>200); $img = Imager->new(%opts); # create direct mode RGBA image $img = Imager->new(%opts, channels=>4); # create direct mode RGBA image To create paletted images, set the 'type' parameter to 'paletted': $img = Imager->new(xsize=>200, ysize=>200, type=>'paletted'); which creates an image with a maxiumum of 256 colors, which you can change by supplying the C parameter. For improved color precision you can use the bits parameter to specify 16 bit per channel: $img = Imager->new(xsize=>200, ysize=>200, channels=>3, bits=>16); or for even more precision: $img = Imager->new(xsize=>200, ysize=>200, channels=>3, bits=>'double'); to get an image that uses a double for each channel. Note that as of this writing all functions should work on images with more than 8-bits/channel, but many will only work at only 8-bit/channel precision. Currently only 8-bit, 16-bit, and double per channel image types are available, this may change later. =item img_set img_set destroys the image data in the object and creates a new one with the given dimensions and channels. For a way to convert image data between formats see the C method. $img->img_set(xsize=>500, ysize=>500, channels=>4); =back =head2 Getting Information About an Imager Object =over =item getwidth print "Image width: ", $img->getwidth(), "\n"; The C method returns the width of the image. This value comes either from C with xsize,ysize parameters or from reading data from a file with C. If called on an image that has no valid data in it like Cnew()> returns, the return value of C is undef. =item getheight print "Image height: ", $img->getheight(), "\n"; Same details apply as for L. =item getchannels print "Image has ",$img->getchannels(), " channels\n"; To get the number of channels in an image C is used. =item getcolorcount It is possible to have Imager find the number of colors in an image by with the C method. It requires memory proportionally to the number of colors in the image so it is possible to have it stop sooner if you only need to know if there are more than a certain number of colors in the image. If there are more colors than asked for the function return undef. Examples: if (defined($img->getcolorcount(maxcolors=>512)) { print "Less than 512 colors in image\n"; } =item bits The bits() method retrieves the number of bits used to represent each channel in a pixel, 8 for a normal image, 16 for 16-bit image and 'double' for a double/channel image. =item type The type() method returns either 'direct' for truecolor images or 'paletted' for paletted images. =item virtual The virtual() method returns non-zero if the image contains no actual pixels, for example masked images. =back =head2 Direct Type Images =over =item getmask @rgbanames = qw( red green blue alpha ); my $mask = $img->getmask(); print "Modifiable channels:\n"; for (0..$img->getchannels()-1) { print $rgbanames[$_],"\n" if $mask & 1<<$_; } C is used to fetch the current channel mask. The mask determines what channels are currently modifiable in the image. The channel mask is an integer value, if the i-th lsb is set the i-th channel is modifiable. =item setmask $mask = $img->getmask(); $img->setmask(mask=>8); # modify alpha only ... $img->setmask(mask=>$mask); # restore previous mask C is used to set the channel mask of the image. See L for details. =back =head2 Palette Type Images In general you can work with paletted images in the same way as RGB images, except that if you attempt to draw to a paletted image with a color that is not in the image's palette, the image will be converted to an RGB image. This means that drawing on a paletted image with anti-aliasing enabled will almost certainly convert the image to RGB. Palette management takes place through C, C, C and C: =over =item addcolors You can add colors to a paletted image with the addcolors() method: my @colors = ( Imager::Color->new(255, 0, 0), Imager::Color->new(0, 255, 0) ); my $index = $img->addcolors(colors=>\@colors); The return value is the index of the first color added, or undef if adding the colors would overflow the palette. =item setcolors $img->setcolors(start=>$start, colors=>\@colors); Once you have colors in the palette you can overwrite them with the C method: C returns true on success. =item getcolors To retrieve existing colors from the palette use the getcolors() method: # get the whole palette my @colors = $img->getcolors(); # get a single color my $color = $img->getcolors(start=>$index); # get a range of colors my @colors = $img->getcolors(start=>$index, count=>$count); =item findcolor To quickly find a color in the palette use findcolor(): my $index = $img->findcolor(color=>$color); which returns undef on failure, or the index of the color. You can get the current palette size with $img->colorcount, and the maximum size of the palette with $img->maxcolors. =back =head2 Conversion Between Image Types Warning: if you draw on a paletted image with colors that aren't in the palette, the image will be internally converted to a normal image. =over =item to_paletted You can create a new paletted image from an existing image using the to_paletted() method: $palimg = $img->to_paletted(\%opts) where %opts contains the options specified under L. =item to_rgb8 You can convert a paletted image (or any image) to an 8-bit/channel RGB image with: $rgbimg = $img->to_rgb8; =head2 Masked Images Masked images let you control which pixels are modified in an underlying image. Where the first channel is completely black in the mask image, writes to the underlying image are ignored. For example, given a base image called $img: my $mask = Imager->new(xsize=>$img->getwidth, ysize=>getheight, channels=>1); # ... draw something on the mask my $maskedimg = $img->masked(mask=>$mask); You can specifiy the region of the underlying image that is masked using the left, top, right and bottom options. If you just want a subset of the image, without masking, just specify the region without specifying a mask. =head2 Tags Image tags contain meta-data about the image, ie. information not stored as pixels of the image. At the perl level each tag has a name or code and a value, which is an integer or an arbitrary string. An image can contain more than one tag with the same name or code. You can retrieve tags from an image using the tags() method, you can get all of the tags in an image, as a list of array references, with the code or name of the tag followed by the value of the tag: my @alltags = $img->tags; or you can get all tags that have a given name: my @namedtags = $img->tags(name=>$name); or a given code: my @tags = $img->tags(code=>$code); You can add tags using the addtag() method, either by name: my $index = $img->addtag(name=>$name, value=>$value); or by code: my $index = $img->addtag(code=>$code, value=>$value); You can remove tags with the deltag() method, either by index: $img->deltag(index=>$index); or by name: $img->deltag(name=>$name); or by code: $img->deltag(code=>$code); In each case deltag() returns the number of tags deleted. =head2 Common Tags Many tags are only meaningful for one format. GIF looping information is pretty useless for JPEG for example. Thus, many tags are set by only a single reader or used by a single writer. For a complete list of format specific tags see L. Since tags are a relatively new addition their use is not wide spread but eventually we hope to have all the readers for various formats set some standard information. =over =item i_xres =item i_yres The spatial resolution of the image in pixels per inch. If the image format uses a different scale, eg. pixels per meter, then this value is converted. A floating point number stored as a string. =item i_aspect_only If this is non-zero then the values in i_xres and i_yres are treated as a ratio only. If the image format does not support aspect ratios then this is scaled so the smaller value is 72dpi. =item i_incomplete If this tag is present then the whole image could not be read. This isn't implemented for all images yet. =back =head2 Quantization options These options can be specified when calling write_multi() for gif files, when writing a single image with the gifquant option set to 'gen', or for direct calls to i_writegif_gen and i_writegif_callback. =over =item colors A arrayref of colors that are fixed. Note that some color generators will ignore this. =item transp The type of transparency processing to perform for images with an alpha channel where the output format does not have a proper alpha channel (eg. gif). This can be any of: =over =item none No transparency processing is done. (default) =item threshold Pixels more transparent that tr_threshold are rendered as transparent. =item errdiff An error diffusion dither is done on the alpha channel. Note that this is independent of the translation performed on the colour channels, so some combinations may cause undesired artifacts. =item ordered The ordered dither specified by tr_orddith is performed on the alpha channel. =back This will only be used if the image has an alpha channel, and if there is space in the palette for a transparency colour. =item tr_threshold The highest alpha value at which a pixel will be made transparent when transp is 'threshold'. (0-255, default 127) =item tr_errdiff The type of error diffusion to perform on the alpha channel when transp is 'errdiff'. This can be any defined error diffusion type except for custom (see errdiff below). =item tr_orddith The type of ordered dither to perform on the alpha channel when transp is 'ordered'. Possible values are: =over =item random A semi-random map is used. The map is the same each time. =item dot8 8x8 dot dither. =item dot4 4x4 dot dither =item hline horizontal line dither. =item vline vertical line dither. =item "/line" =item slashline diagonal line dither =item '\line' =item backline diagonal line dither =item tiny dot matrix dither (currently the default). This is probably the best for displays (like web pages). =item custom A custom dither matrix is used - see tr_map =back =item tr_map When tr_orddith is custom this defines an 8 x 8 matrix of integers representing the transparency threshold for pixels corresponding to each position. This should be a 64 element array where the first 8 entries correspond to the first row of the matrix. Values should be betweern 0 and 255. =item make_colors Defines how the quantization engine will build the palette(s). Currently this is ignored if 'translate' is 'giflib', but that may change. Possible values are: =over =item none Only colors supplied in 'colors' are used. =item webmap The web color map is used (need url here.) =item addi The original code for generating the color map (Addi's code) is used. =item mediancut Uses a mediancut algorithm, faster than 'addi', but not as good a result. =back Other methods may be added in the future. =item colors A arrayref containing Imager::Color objects, which represents the starting set of colors to use in translating the images. webmap will ignore this. The final colors used are copied back into this array (which is expanded if necessary.) =item max_colors The maximum number of colors to use in the image. =item translate The method used to translate the RGB values in the source image into the colors selected by make_colors. Note that make_colors is ignored whene translate is 'giflib'. Possible values are: =over =item giflib The giflib native quantization function is used. =item closest The closest color available is used. =item perturb The pixel color is modified by perturb, and the closest color is chosen. =item errdiff An error diffusion dither is performed. =back It's possible other transate values will be added. =item errdiff The type of error diffusion dither to perform. These values (except for custom) can also be used in tr_errdif. =over =item floyd Floyd-Steinberg dither =item jarvis Jarvis, Judice and Ninke dither =item stucki Stucki dither =item custom Custom. If you use this you must also set errdiff_width, errdiff_height and errdiff_map. =back =item errdiff_width =item errdiff_height =item errdiff_orig =item errdiff_map When translate is 'errdiff' and errdiff is 'custom' these define a custom error diffusion map. errdiff_width and errdiff_height define the size of the map in the arrayref in errdiff_map. errdiff_orig is an integer which indicates the current pixel position in the top row of the map. =item perturb When translate is 'perturb' this is the magnitude of the random bias applied to each channel of the pixel before it is looked up in the color table. =back =cut