This file is indexed.

/usr/lib/x86_64-linux-gnu/perl5/5.24/Imager/ImageTypes.pod is in libimager-perl 1.005+dfsg-2.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

   1
   2
   3
   4
   5
   6
   7
   8
   9
  10
  11
  12
  13
  14
  15
  16
  17
  18
  19
  20
  21
  22
  23
  24
  25
  26
  27
  28
  29
  30
  31
  32
  33
  34
  35
  36
  37
  38
  39
  40
  41
  42
  43
  44
  45
  46
  47
  48
  49
  50
  51
  52
  53
  54
  55
  56
  57
  58
  59
  60
  61
  62
  63
  64
  65
  66
  67
  68
  69
  70
  71
  72
  73
  74
  75
  76
  77
  78
  79
  80
  81
  82
  83
  84
  85
  86
  87
  88
  89
  90
  91
  92
  93
  94
  95
  96
  97
  98
  99
 100
 101
 102
 103
 104
 105
 106
 107
 108
 109
 110
 111
 112
 113
 114
 115
 116
 117
 118
 119
 120
 121
 122
 123
 124
 125
 126
 127
 128
 129
 130
 131
 132
 133
 134
 135
 136
 137
 138
 139
 140
 141
 142
 143
 144
 145
 146
 147
 148
 149
 150
 151
 152
 153
 154
 155
 156
 157
 158
 159
 160
 161
 162
 163
 164
 165
 166
 167
 168
 169
 170
 171
 172
 173
 174
 175
 176
 177
 178
 179
 180
 181
 182
 183
 184
 185
 186
 187
 188
 189
 190
 191
 192
 193
 194
 195
 196
 197
 198
 199
 200
 201
 202
 203
 204
 205
 206
 207
 208
 209
 210
 211
 212
 213
 214
 215
 216
 217
 218
 219
 220
 221
 222
 223
 224
 225
 226
 227
 228
 229
 230
 231
 232
 233
 234
 235
 236
 237
 238
 239
 240
 241
 242
 243
 244
 245
 246
 247
 248
 249
 250
 251
 252
 253
 254
 255
 256
 257
 258
 259
 260
 261
 262
 263
 264
 265
 266
 267
 268
 269
 270
 271
 272
 273
 274
 275
 276
 277
 278
 279
 280
 281
 282
 283
 284
 285
 286
 287
 288
 289
 290
 291
 292
 293
 294
 295
 296
 297
 298
 299
 300
 301
 302
 303
 304
 305
 306
 307
 308
 309
 310
 311
 312
 313
 314
 315
 316
 317
 318
 319
 320
 321
 322
 323
 324
 325
 326
 327
 328
 329
 330
 331
 332
 333
 334
 335
 336
 337
 338
 339
 340
 341
 342
 343
 344
 345
 346
 347
 348
 349
 350
 351
 352
 353
 354
 355
 356
 357
 358
 359
 360
 361
 362
 363
 364
 365
 366
 367
 368
 369
 370
 371
 372
 373
 374
 375
 376
 377
 378
 379
 380
 381
 382
 383
 384
 385
 386
 387
 388
 389
 390
 391
 392
 393
 394
 395
 396
 397
 398
 399
 400
 401
 402
 403
 404
 405
 406
 407
 408
 409
 410
 411
 412
 413
 414
 415
 416
 417
 418
 419
 420
 421
 422
 423
 424
 425
 426
 427
 428
 429
 430
 431
 432
 433
 434
 435
 436
 437
 438
 439
 440
 441
 442
 443
 444
 445
 446
 447
 448
 449
 450
 451
 452
 453
 454
 455
 456
 457
 458
 459
 460
 461
 462
 463
 464
 465
 466
 467
 468
 469
 470
 471
 472
 473
 474
 475
 476
 477
 478
 479
 480
 481
 482
 483
 484
 485
 486
 487
 488
 489
 490
 491
 492
 493
 494
 495
 496
 497
 498
 499
 500
 501
 502
 503
 504
 505
 506
 507
 508
 509
 510
 511
 512
 513
 514
 515
 516
 517
 518
 519
 520
 521
 522
 523
 524
 525
 526
 527
 528
 529
 530
 531
 532
 533
 534
 535
 536
 537
 538
 539
 540
 541
 542
 543
 544
 545
 546
 547
 548
 549
 550
 551
 552
 553
 554
 555
 556
 557
 558
 559
 560
 561
 562
 563
 564
 565
 566
 567
 568
 569
 570
 571
 572
 573
 574
 575
 576
 577
 578
 579
 580
 581
 582
 583
 584
 585
 586
 587
 588
 589
 590
 591
 592
 593
 594
 595
 596
 597
 598
 599
 600
 601
 602
 603
 604
 605
 606
 607
 608
 609
 610
 611
 612
 613
 614
 615
 616
 617
 618
 619
 620
 621
 622
 623
 624
 625
 626
 627
 628
 629
 630
 631
 632
 633
 634
 635
 636
 637
 638
 639
 640
 641
 642
 643
 644
 645
 646
 647
 648
 649
 650
 651
 652
 653
 654
 655
 656
 657
 658
 659
 660
 661
 662
 663
 664
 665
 666
 667
 668
 669
 670
 671
 672
 673
 674
 675
 676
 677
 678
 679
 680
 681
 682
 683
 684
 685
 686
 687
 688
 689
 690
 691
 692
 693
 694
 695
 696
 697
 698
 699
 700
 701
 702
 703
 704
 705
 706
 707
 708
 709
 710
 711
 712
 713
 714
 715
 716
 717
 718
 719
 720
 721
 722
 723
 724
 725
 726
 727
 728
 729
 730
 731
 732
 733
 734
 735
 736
 737
 738
 739
 740
 741
 742
 743
 744
 745
 746
 747
 748
 749
 750
 751
 752
 753
 754
 755
 756
 757
 758
 759
 760
 761
 762
 763
 764
 765
 766
 767
 768
 769
 770
 771
 772
 773
 774
 775
 776
 777
 778
 779
 780
 781
 782
 783
 784
 785
 786
 787
 788
 789
 790
 791
 792
 793
 794
 795
 796
 797
 798
 799
 800
 801
 802
 803
 804
 805
 806
 807
 808
 809
 810
 811
 812
 813
 814
 815
 816
 817
 818
 819
 820
 821
 822
 823
 824
 825
 826
 827
 828
 829
 830
 831
 832
 833
 834
 835
 836
 837
 838
 839
 840
 841
 842
 843
 844
 845
 846
 847
 848
 849
 850
 851
 852
 853
 854
 855
 856
 857
 858
 859
 860
 861
 862
 863
 864
 865
 866
 867
 868
 869
 870
 871
 872
 873
 874
 875
 876
 877
 878
 879
 880
 881
 882
 883
 884
 885
 886
 887
 888
 889
 890
 891
 892
 893
 894
 895
 896
 897
 898
 899
 900
 901
 902
 903
 904
 905
 906
 907
 908
 909
 910
 911
 912
 913
 914
 915
 916
 917
 918
 919
 920
 921
 922
 923
 924
 925
 926
 927
 928
 929
 930
 931
 932
 933
 934
 935
 936
 937
 938
 939
 940
 941
 942
 943
 944
 945
 946
 947
 948
 949
 950
 951
 952
 953
 954
 955
 956
 957
 958
 959
 960
 961
 962
 963
 964
 965
 966
 967
 968
 969
 970
 971
 972
 973
 974
 975
 976
 977
 978
 979
 980
 981
 982
 983
 984
 985
 986
 987
 988
 989
 990
 991
 992
 993
 994
 995
 996
 997
 998
 999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
=head1 NAME

Imager::ImageTypes - image models for Imager

=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 {
    # palette info
    my $count = $img->colorcount;  
    @colors = $img->getcolors();
    print "Palette size: $count\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 two basic models of image:

=over

=item *

direct color - all samples are stored for every pixel.  eg. for an
8-bit/sample RGB image, 24 bits are stored for each pixel.

=item *

paletted - an index into a table of colors is stored for each pixel.

=back

Direct color or paletted images can have 1 to 4 samples per color
stored.  Imager treats these as follows:

=over

=item *

1 sample per color - gray scale image.

=item *

2 samples per color - gray scale image with alpha channel, allowing
transparency.

=item *

3 samples per color - RGB image.

=item *

4 samples per color - RGB image with alpha channel, allowing
transparency.

=back

Direct color images can have sample sizes of 8-bits per sample,
16-bits per sample or a double precision floating point number per
sample (64-bits on many systems).

Paletted images are always 8-bits/sample.

To query an existing image about it's parameters see the C<bits()>,
C<type()>, C<getwidth()>, C<getheight()>, C<getchannels()> and
C<virtual()> methods.

The coordinate system in Imager has the origin in the upper left
corner, see L<Imager::Draw> for details.

The alpha channel when one is present is considered unassociated -
ie the color data has not been scaled by the alpha channel.  Note
that not all code follows this (recent) rule, but will over time.

=head2 Creating Imager Objects

=over

=item new()
X<new(), Imager methods>

  $img = Imager->new();
  $img->read(file=>"alligator.ppm") or die $img->errstr;

Here C<new()> 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

You can also read a file from new():

  $img = Imager->new(file => "someimage.png");

The parameters for new are:

=over

=item *

C<xsize>, C<ysize> - Defines the width and height in pixels of the
image.  These must be positive.

If not supplied then only placeholder object is created, which can be
supplied to the C<read()> or C<img_set()> methods.

=item *

C<channels> - The number of channels for the image.  Default 3.  Valid
values are from 1 to 4.

=item *

C<model> - this overrides the value, if any, supplied for C<channels>.
This can be one of C<gray>, C<graya>, C<rgb> or C<rgba>.

=item *

C<bits> - The storage type for samples in the image.  Default: 8.
Valid values are:

=over

=item *

C<8> - One byte per sample.  256 discrete values.

=item *

C<16> - 16-bits per sample, 65536 discrete values.

=item *

C<double> - one C double per sample.

=back

Note: you can use any Imager function on any sample size image.

Paletted images always use 8 bits/sample.

=item *

C<type> - either C<'direct'> or C<'paletted'>.  Default: C<'direct'>.

Direct images store color values for each pixel.  

Paletted images keep a table of up to 256 colors called the palette,
each pixel is represented as an index into that table.

In most cases when working with Imager you will want to use the
C<direct> image type.

If you draw on a C<paletted> image with a color not in the image's
palette then Imager will transparently convert it to a C<direct>
image.

=item *

C<maxcolors> - the maximum number of colors in a paletted image.
Default: 256.  This must be in the range 1 through 256.

=item *

C<file>, C<fh>, C<fd>, C<callback>, C<readcb>, or C<io> - specify a
file name, filehandle, file descriptor or callback to read image data
from.  See L<Imager::Files> for details.  The typical use is:

  my $im = Imager->new(file => $filename);

=item *

C<filetype> - treated as the file format parameter, as for C<type>
with the read() method, eg:

  my $im = Imager->new(file => $filename, filetype => "gif");

In most cases Imager will detect the file's format itself.

=back

In the simplest case just supply the width and height of the image:

  # 8 bit/sample, RGB image
  my $img = Imager->new(xsize => $width, ysize => $height);

or if you want an alpha channel:

  # 8 bits/sample, RGBA image
  my $img = Imager->new(xsize => $width, ysize => $height, channels=>4);

Note that it I<is> possible for image creation to fail, for example if
channels is out of range, or if the image would take too much memory.

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 maximum of 256 colors, which you can
change by supplying the C<maxcolors> 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.

If you want an empty Imager object to call the read() method on, just
call new() with no parameters:

  my $img = Imager->new;
  $img->read(file=>$filename)
    or die $img->errstr;

Though it's much easier now to just call new() with a C<file>
parameter:

  my $img = Imager->new(file => $filename)
    or die Imager->errstr;

If none of C<xsize>, C<ysize>, C<file>, C<fh>, C<fd>, C<callback>,
C<readcb>, C<data>, C<io> is supplied, and other parameters I<are> supplied
C<< Imager->new >> will return failure rather than returning an empty
image object.

=item img_set()
X<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<convert()> method.

  $img->img_set(xsize=>500, ysize=>500, channels=>4);

This takes exactly the same parameters as the new() method, excluding
those for reading from files.

=back

=head2 Image Attribute functions

These return basic attributes of an image object.

=over

=item getwidth()

  print "Image width: ", $img->getwidth(), "\n";

The C<getwidth()> method returns the width of the image.  This value
comes either from C<new()> with C<xsize>, C<ysize> parameters or from
reading data from a file with C<read()>.  If called on an image that
has no valid data in it like C<Imager-E<gt>new()> returns, the return
value of C<getwidth()> is undef.

=item getheight()

  print "Image height: ", $img->getheight(), "\n";

Same details apply as for L</getwidth()>.

=item getchannels()
X<getchannels() method>X<methods, getchannels()>

  print "Image has ",$img->getchannels(), " channels\n";

Returns the number of channels in an image.

Note: previously the number of channels in an image mapped directly to
the color model of the image, ie a 4 channel image was always RGBA.
This may change in a future release of Imager.

Returns an empty list if the image object is not initialized.

=item colorchannels()
X<colorchannels() method>X<methods, colorchannels()>

Returns the number of color channels.

Currently this is always 1 or 3, but may be 0 for some rare images in
a future version of Imager.

Returns an empty list if the image object is not initialized.

=item colormodel()
X<colormodel method>X<methods, colormodel>

Returns the color model of the image, including whether there is an
alpha channel.

By default this is returned as a string, one of C<unknown>, C<gray>,
C<graya>, C<rgb> or C<rgba>.

If you call C<colormodel()> with a true numeric parameter:

  my $model = $img->colormodel(numeric => 1);

then the color model is returned as a number, mapped as follows:

  Numeric  String
  -------  ------
      0    unknown
      1    gray
      2    graya
      3    rgb
      4    rgba

=item alphachannel()
X<alphachannel() method>X<methods, alphachannel()>

Returns the channel index of the alpha channel of the image.

This is 1 for grayscale images with alpha, 3 for RGB images with alpha
and will return C<undef> for all other images.

Returns an empty list if the image object is not initialized.

=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.

  if ($img->bits eq 8) {
    # fast but limited to 8-bits/sample
  }
  else {
    # slower but more precise
  }

Returns an empty list if the image object is not initialized.

=item type()

The type() method returns either 'direct' for direct color images or
'paletted' for paletted images.

  if ($img->type eq 'paletted') {
    # print the palette
    for my $color ($img->getcolors) {
      print join(",", $color->rgba), "\n";
    }
  }

Returns an empty list if the image object is not initialized.

=item virtual()

The virtual() method returns non-zero if the image contains no actual
pixels, for example masked images.

=for stopwords SDL

This may also be used for non-native Imager images in the future, for
example, for an Imager object that draws on an SDL surface.

=item is_bilevel()

Tests if the image will be written as a monochrome or bi-level image
for formats that support that image organization.

In scalar context, returns true if the image is bi-level.

In list context returns a list:

  ($is_bilevel, $zero_is_white) = $img->is_bilevel;

An image is considered bi-level, if all of the following are true:

=over

=item *

the image is a paletted image

=item *

the image has 1 or 3 channels

=item *

the image has only 2 colors in the palette

=item *

those 2 colors are black and white, in either order.

=back

If a real bi-level organization image is ever added to Imager, this
function will return true for that too.

Returns an empty list if the image object is not initialized.

=back

=head2 Direct Type Images

Direct images store the color value directly for each pixel in the
image.

=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 $mask & 1<<$_;
  }

=for stopwords th

C<getmask()> 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 C<i-th> least significant bit
is set the C<i-th> channel is modifiable.  eg. a channel mask of 0x5
means only channels 0 and 2 are writable.

=item setmask()

  $mask = $img->getmask();
  $img->setmask(mask=>8);     # modify alpha only

    ...

  $img->setmask(mask=>$mask); # restore previous mask

C<setmask()> is used to set the channel mask of the image.  See
L</getmask()> for details.

=back

=head2 Palette Type Images

Paletted images keep an array of up to 256 colors, and each pixel is
stored as an index into that array.

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<addcolors()>, C<setcolors()>,
C<getcolors()> and C<findcolor()>:

=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.

The only parameter is C<colors> which must be a reference to an array
of Imager::Color objects.

=item setcolors()

  $img->setcolors(start=>$start, colors=>\@colors);

Once you have colors in the palette you can overwrite them with the
C<setcolors()> method:  C<setcolors()> returns true on success.

Parameters:

=over

=item *

start - the first index to be set.  Default: 0

=item *

colors - reference to an array of Imager::Color objects.

=back

=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.

Parameter:

=over

=item *

color - an Imager::Color object.

=back

=item colorcount()

Returns the number of colors in the image's palette:

  my $count = $img->colorcount;

=item maxcolors()

Returns the maximum size of the image's palette.

  my $maxcount = $img->maxcolors;

=back

=head2 Color Distribution

=over

=item getcolorcount()

Calculates the number of colors in an image.

The amount of memory used by this is proportional to the number of
colors present in the image, so to avoid using too much memory you can
supply a maxcolors() parameter to limit the memory used.

Note: getcolorcount() treats the image as an 8-bit per sample image.

=over

=item *

X<maxcolors!getcolorcount>C<maxcolors> - the maximum number of colors to
return.  Default: unlimited.

=back

  if (defined($img->getcolorcount(maxcolors=>512)) {
    print "Less than 512 colors in image\n";
  }

=item getcolorusagehash()

Calculates a histogram of colors used by the image.

=over

=item *

X<maxcolors!getcolorusagehash>C<maxcolors> - the maximum number of colors
to return.  Default: unlimited.

=back

Returns a reference to a hash where the keys are the raw color as
bytes, and the values are the counts for that color.

The alpha channel of the image is ignored.  If the image is gray scale
then the hash keys will each be a single character.

  my $colors = $img->getcolorusagehash;
  my $blue_count = $colors->{pack("CCC", 0, 0, 255)} || 0;
  print "#0000FF used $blue_count times\n";

=item getcolorusage()

Calculates color usage counts and returns just the counts.

=over

=item *

X<maxcolors!getcolorusage>C<maxcolors> - the maximum number of colors
to return.  Default: unlimited.

=back

Returns a list of the color frequencies in ascending order.

  my @counts = $img->getcolorusage;
  print "The most common color is used $counts[0] times\n";

=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</Quantization options>.

  # convert to a paletted image using the web palette
  # use the closest color to each pixel
  my $webimg = $img->to_paletted({ make_colors => 'webmap' });

  # convert to a paletted image using a fairly optimal palette
  # use an error diffusion dither to try to reduce the average error
  my $optimag = $img->to_paletted({ make_colors => 'mediancut',
                                    translate => 'errdiff' });

=item to_rgb8()

You can convert a paletted image (or any image) to an 8-bit/channel
RGB image with:

  $rgbimg = $img->to_rgb8;

No parameters.

=item to_rgb16()

Convert a paletted image (or any image) to a 16-bit/channel RGB image.

  $rgbimg = $img->to_rgb16;

No parameters.

=item to_rgb_double()

Convert a paletted image (or any image) to an double/channel direct
color image.

  $rgbimg = $img->to_rgb_double;

No parameters.

=item masked()

Creates a masked image.  A masked image lets you create an image proxy
object that protects parts of the underlying target image.

In the discussion below there are 3 image objects involved:

=over

=item *

the masked image - the return value of the masked() method.  Any
writes to this image are written to the target image, assuming the
mask image allows it.

=item *

the mask image - the image that protects writes to the target image.
Supplied as the C<mask> parameter to the masked() method.

=item *

the target image - the image you called the masked() method on.  Any
writes to the masked image end up on this image.

=back

Parameters:

=over

=item *

mask - the mask image.  If not supplied then all pixels in the target
image are writable.  On each write to the masked image, only pixels
that have non-zero in channel 0 of the mask image will be written to
the original image.  Default: none, if not supplied then no masking is
done, but the other parameters are still honored.

=item *

left, top - the offset of writes to the target image.  eg. if you
attempt to set pixel (x,y) in the masked image, then pixel (x+left,
y+top) will be written to in the original image.

=item *

bottom, right - the bottom right of the area in the target available
from the masked image.

=back

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=>$img->getheight,
                         channels=>1);
  # ... draw something on the mask
  my $maskedimg = $img->masked(mask=>$mask);

  # now draw on $maskedimg and it will only draw on areas of $img 
  # where $mask is non-zero in channel 0.

You can specify 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.  For example:

  # just work with a 100x100 region of $img
  my $maskedimg = $img->masked(left => 100, top=>100,
                               right=>200, bottom=>200);

=item make_palette()

This doesn't perform an image conversion, but it can be used to
construct a common palette for use in several images:

  my @colors = Imager->make_palette(\%opts, @images);

You must supply at least one image, even if the C<make_colors>
parameter produces a fixed palette.

On failure returns no colors and you can check C<< Imager->errstr >>.

=back

=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, but having more than one tag with the
same name is discouraged.

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.

Imager's support for fairly limited, for access to pretty much all
image metadata you may want to try L<Image::ExifTool>.

=over

=item tags()

Retrieve tags from the image.

With no parameters, retrieves a list array references, each containing
a name and value: all tags in the image:

  # get a list of ( [ name1 => value1 ], [ name2 => value2 ] ... )
  my @alltags = $img->tags;
  print $_->[0], ":", $_->[1], "\n" for @all_tags;

  # or put it in a hash, but this will lose duplicates
  my %alltags = map @$_, $img->tags;

in scalar context this returns the number of tags:

  my $num_tags = $img->tags;

or you can get all tags values for the given name:

  my @namedtags = $img->tags(name => $name);

in scalar context this returns the first tag of that name:

  my $firstnamed = $img->tags(name => $name);

or a given code:

  my @tags = $img->tags(code=>$code);

=item addtag()

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);

=item deltag()

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.

=item settag()

settag() replaces any existing tags with a new tag.  This is
equivalent to calling deltag() then addtag().

=back

=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<Imager::Files>.

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 *

X<i_xres tag>X<i_yres tag>X<tags, i_xres>X<tags, i_yres>C<i_xres>, C<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.

  # our image was generated as a 300 dpi image
  $img->settag(name => 'i_xres', value => 300);
  $img->settag(name => 'i_yres', value => 300);

  # 100 pixel/cm for a TIFF image
  $img->settag(name => 'tiff_resolutionunit', value => 3); # RESUNIT_CENTIMETER
  # convert to pixels per inch, Imager will convert it back
  $img->settag(name => 'i_xres', value => 100 * 2.54);
  $img->settag(name => 'i_yres', value => 100 * 2.54);

=item *

X<i_aspect_only tag>X<tags, i_aspect_only>C<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 72 DPI.

=item *

X<i_incomplete tag>X<tags, i_incomplete>C<i_incomplete> - If this tag is
present then the whole image could not be read.  This isn't
implemented for all images yet, and may not be.

=item *

X<i_lines_read tag>X<tags, i_lines_read>C<i_lines_read> - If
C<i_incomplete> is set then this tag may be set to the number of
scan lines successfully read from the file.  This can be used to decide
whether an image is worth processing.

=item *

X<i_format tag>X<tags, i_format>i_format - The file format this file
was read from.

=item *

X<i_background>X<tags, i_background>i_background - used when writing
an image with an alpha channel to a file format that doesn't support
alpha channels.  The C<write> method will convert a normal color
specification like "#FF0000" into a color object for you, but if you
set this as a tag you will need to format it like
C<color(>I<red>C<,>I<green>C<,>I<blue>C<)>, eg color(255,0,0).

=item *

X<i_comment>C<i_comment> - used when reading or writing several image
formats.  If the format has only one text field it will be read into
the C<i_comment> tag or written to the file.

=back

=head2 Quantization options

These options can be specified when calling
L<Imager::ImageTypes/to_paletted()>, write_multi() for GIF files, when
writing a single image with the C<gifquant> option set to C<gen>, or for
direct calls to i_writegif_gen() and i_writegif_callback().

=over

=item *

C<colors> - An arrayref of colors that are fixed.  Note that some
color generators will ignore this.  If this is supplied it will be
filled with the color table generated for the image.

=item *

C<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 *

C<none> - No transparency processing is done. (default)

=item *

C<threshold> - pixels more transparent than C<tr_threshold> are
rendered as transparent.

=item *

C<errdiff> - An error diffusion dither is done on the alpha channel.
Note that this is independent of the translation performed on the
color channels, so some combinations may cause undesired artifacts.

=item *

C<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 color.

=item *

C<tr_threshold> - the highest alpha value at which a pixel will be
made transparent when C<transp> is 'threshold'. (0-255, default 127)

=item *

C<tr_errdiff> - The type of error diffusion to perform on the alpha
channel when C<transp> is C<errdiff>.  This can be any defined error
diffusion type except for custom (see C<errdiff> below).

=item *

C<tr_orddith> - The type of ordered dither to perform on the alpha
channel when C<transp> is 'ordered'.  Possible values are:

=over

=item *

C<random> - A semi-random map is used.  The map is the same each time.

=item *

C<dot8> - 8x8 dot dither.

=item *

C<dot4> - 4x4 dot dither

=item *

C<hline> - horizontal line dither.

=item *

C<vline> - vertical line dither.

=item *

C</line>, C<slashline> - diagonal line dither

=item *

C<\line>, C<backline> - diagonal line dither

=item *

C<tiny> - dot matrix dither (currently the default).  This is probably
the best for displays (like web pages).

=item *

C<custom> - A custom dither matrix is used - see C<tr_map>.

=back

=item *

C<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 between 0 and 255.

=item *

C<make_colors> - Defines how the quantization engine will build the
palette(s).  Currently this is ignored if C<translate> is C<giflib>,
but that may change.  Possible values are:

=over

=item *

C<none> - only colors supplied in 'colors' are used.

=item *

C<webmap> - the web color map is used (need URL here.)

=item *

C<addi> - The original code for generating the color map (Addi's code) is
used.

=item *

C<mediancut> - Uses a median-cut algorithm, faster than C<addi>, but not
as good a result.

=item *

C<mono>, C<monochrome> - a fixed black and white palette, suitable for
producing bi-level images (eg. facsimile)

=item *

C<gray>, C<gray4>, C<gray16> - make fixed gray palette with 256, 4 or
16 entries respectively.

=back

Other methods may be added in the future.

=item *

C<colors> - an arrayref containing Imager::Color objects, which
represents the starting set of colors to use in translating the
images.  C<webmap> will ignore this.  On return the final colors used
are copied back into this array (which is expanded if necessary.)

=item *

C<max_colors> - the maximum number of colors to use in the image.

=item *

C<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 when C<translate> is C<giflib>.

Possible values are:

=over

=item *

C<giflib> - this is a historical equivalent for C<closest> that also
forces C<make_colors> to C<mediancut>.

=item *

C<closest> - the closest color available is used.

=item *

C<perturb> - the pixel color is modified by C<perturb>, and the
closest color is chosen.

=item *

C<errdiff> - an error diffusion dither is performed.  If the supplied
(or generated) palette contains only grays the source colors are
converted to gray before error diffusion is performed.

=back

It's possible other C<translate> values will be added.

=item *

C<errdiff> - The type of error diffusion dither to perform.  These
values (except for custom) can also be used in tr_errdif.

=for stopwords Floyd-Steinberg Jarvis Judice Ninke Stucki

=over

=item *

C<floyd> - Floyd-Steinberg dither

=item *

C<jarvis> - Jarvis, Judice and Ninke dither

=item *

C<stucki> - Stucki dither

=item *

C<custom> - custom.  If you use this you must also set C<errdiff_width>,
C<errdiff_height> and C<errdiff_map>.

=back

=item *

C<errdiff_width>, C<errdiff_height>, C<errdiff_orig>, C<errdiff_map> -
When C<translate> is C<errdiff> and C<errdiff> is C<custom> these
define a custom error diffusion map.  C<errdiff_width> and
C<errdiff_height> define the size of the map in the arrayref in
C<errdiff_map>.  C<errdiff_orig> is an integer which indicates the
current pixel position in the top row of the map.

=item *

C<perturb> - When translate is C<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

=head1 INITIALIZATION

This documents the Imager initialization function, which you will
almost never need to call.

=over

=item init()

This is a function, not a method.

This function is a mess, it can take the following named parameters:

=over

=item *

C<log> - name of a log file to log Imager's actions to.  Not all
actions are logged, but the debugging memory allocator does log
allocations here.  Ignored if Imager has been built without logging
support.  Preferably use the open_log() method instead.

=item *

C<loglevel> - the maximum level of message to log.  Default: 1.

=item *

C<warn_obsolete> - if this is non-zero then Imager will warn when you
attempt to use obsoleted parameters or functionality.  This currently
only includes the old GIF output options instead of tags.

=item *

C<t1log> - if non-zero then T1lib will be configured to produce a log
file.  This will fail if there are any existing T1lib font objects.

=back

Example:

  Imager::init(log => 'trace.log', loglevel => 9);

=back

=head1 LOGGING METHODS

Imager can open an internal log to send debugging information to.
This log is extensively used in Imager's tests, but you're unlikely to
use it otherwise.

If Imager has been built with logging disabled, the methods fail
quietly.

=over

=item open_log()

Open the Imager debugging log file.

=over

=item *

C<log> - the file name to log to.  If this is undef logging information
is sent to the standard error stream.

=item *

C<loglevel> the level of logging to produce.  Default: 1.

=back

Returns a true value if the log file was opened successfully.

  # send debug output to test.log
  Imager->open_log(log => "test.log");

  # send debug output to stderr
  Imager->open_log();

=item close_log()

Close the Imager debugging log file and disable debug logging.

No parameters.

  Imager->close_log();

=item log()

 Imager->log($message)
 Imager->log($message, $level)

This method does not use named parameters.

The default for C<$level> is 1.

Send a message to the debug log.

  Imager->log("My code got here!");

=item is_logging()

Returns a true value if logging is enabled.

=back

=head1 AUTHOR

Tony Cook <tonyc@cpan.org>, Arnar M. Hrafnkelsson

=head1 SEE ALSO

Imager(3), Imager::Files(3), Imager::Draw(3),
Imager::Color(3), Imager::Fill(3), Imager::Font(3),
Imager::Transformations(3), Imager::Engines(3), Imager::Filters(3),
Imager::Expr(3), Imager::Matrix2d(3), Imager::Fountain(3)

=cut