=head1 NAME

Image::Hash - Perceptual image hashing [aHash, dHash, pHash].

=head1 SYNOPSIS

  use Image::Hash;
  use File::Slurp;
  
  # Read a image from the command line
  my $image = read_file( shift @ARGV, binmode => ':raw' ) ;

  my $ihash = Image::Hash->new($image);

  # Calculate the average hash
  my $a = $ihash->ahash();

  # Calculate the difference hash
  my $b = $ihash->dhash();

  # Calculate the perception hash
  my $p = $ihash->phash();

  print "$a\n$b\n$p\n";



=head1 DESCRIPTION

Image::Hash allows you to calculate the average hash, difference hash and perception hash an image.

Depending on what is available on your system Image::Hash will use GD, Image::Magick or Imager to interact with your image.



=head1 CONSTRUCTOR METHODS

  my $ihash = Image::Hash->new($image [, $module ]);
  
The first argument is a scalar with a binary representation of an image.

You may also optionally specify a second argument of "GD", "ImageMagick" or "Imager" to force Image::Hash to use the specific image module when it interacts with the image.
The different image modules may give direct hashes for the same image. Using GD normally hives the best results, and are is highly recommended.


=head1 HASHES

=head2 ahash

  $ihash->ahash();
  $ihash->ahash('geometry' => '8x8');

Calculate the Average Hash
	
Return an array of binary values in array context and a hex representative in scalar context.

=head2 dhash

  $ihash->dhash();
  $ihash->dhash('geometry' => '8x8');

Calculate the Dynamic Hash
	
Return an array of binary values in array context and a hex representative in scalar context.
	
=head2 phash

  $ihash->phash();
  $ihash->phash('geometry' => '8x8');

Calculate the Perceptual Hash
	
Return an array of binary values in array context and a hex representative in scalar context.

=head1 DEBUGGING

Functions useful for debug purposes. 

=head2 dump



  my $ihash = Image::Hash->new($image, $module);

  my @hash = $ihash->ahash();
  $ihash->dump('hash' => \@hash );

  
  array(  [ 183 (1), 189 (1), 117 (0),  80 (0), 183 (1), 189 (1), 189 (1), 189 (1) ],
          [ 183 (1), 158 (0),  89 (0), 211 (1),  89 (0), 189 (1), 168 (1), 162 (1) ],
          [ 176 (1), 151 (0),  93 (0), 160 (1), 160 (1), 191 (1), 154 (0), 154 (0) ],
          [ 195 (1), 139 (0),  53 (0), 168 (1),  83 (0), 205 (1), 146 (0), 146 (0) ],
          [ 195 (1), 195 (1), 183 (1), 160 (1), 160 (1), 199 (1), 124 (0), 129 (0) ],
          [ 187 (1), 183 (1), 183 (1), 195 (1), 180 (1), 193 (1), 129 (0), 135 (0) ],
          [ 176 (1), 180 (1), 174 (1), 183 (1), 176 (1), 176 (1), 135 (0), 146 (0) ],
          [ 162 (1), 171 (1),  99 (0), 149 (0), 129 (0), 162 (1), 140 (0), 146 (0) ])

Dump the array used when generating hashes. Option 'hash' may be specified to show with pixel has witch value in the hash.

=head2 reducedimage

  use Image::Hash;
  use File::Slurp;

  my $file = shift @ARGV or die("Pleas spesyfi a file to read!");

  my $image = read_file( $file, binmode => ':raw' ) ;

  my $ihash = Image::Hash->new($image);

  binmode STDOUT;
  print STDOUT $ihash->reducedimage();
 
 Returns the reduced image that will be used by the hash functions.
 
=head1 EXAMPLES

Please see the C<eg/> directory for further examples.

=head1 BUGS

Image::Hash support different back ends (GD, Image::Magick or Imager), but because the different back ends work slightly different they will not produce the same hash for the same image. More info is available at https://github.com/runarbu/PerlImageHash/blob/master/Hash_differences.md .

=head1 AUTHOR

    Runar Buvik
    CPAN ID: RUNARB
    runarb@gmail.com
    http://www.runarb.com

=head1 Git

https://github.com/runarbu/PerlImageHash

=head1 COPYRIGHT

This program is free software; you can redistribute
it and/or modify it under the same terms as Perl itself.

The full text of the license can be found in the
LICENSE file included with this module.


=head1 SEE ALSO

Articles L<Looks like it|http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html> and L<Kind of like that|http://www.hackerfactor.com/blog/?/archives/529-Kind-of-Like-That.html> by Neal Krawetz that describes the theory behind aHash, dHash, pHash.

L<ImageHash|https://github.com/JohannesBuchner/imagehash> image hashing library written in Python that dos the same thing.

L<Class ImageHash|http://jax-work-archive.blogspot.no/2013/05/php-ahash-phash-dhash.html> a PHP class that do the same thing.

