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package Math::DCT; |
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863029
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use 5.008; |
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use strict; |
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use warnings; |
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=head1 NAME |
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Math::DCT - 1D and NxN 2D Fast Discreet Cosine Transforms (DCT-II) |
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=head1 SYNOPSIS |
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use Math::DCT qw/dct dct1d dct2d/; |
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my $dct1d = dct([[1,2,3,4]]); |
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$dct1d = dct1d([1,2,3,4]); |
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my $dct2d = dct([[1,2],[3,4]]); |
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$dct2d = dct2d([1,2,3,4]); |
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=head1 VERSION |
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Version 0.03 |
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=cut |
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our $VERSION = '0.03'; |
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require XSLoader; |
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XSLoader::load('Math::DCT', $VERSION); |
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use Exporter qw(import); |
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our @EXPORT_OK = qw( |
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dct |
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dct1d |
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dct2d |
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); |
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our %EXPORT_TAGS; |
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$EXPORT_TAGS{all} = [@EXPORT_OK]; |
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=head1 DESCRIPTION |
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An unscaled DCT-II implementation for 1D and NxN 2D matrices implemented in XS. |
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For array sizes which are a power of 2, a fast algorithm (FCT) described by Lee is |
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used (with the addition of a coefficient table that makes it even faster than some |
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common implementations), plus an unscaled version of the Arai, Agui, Nakajima |
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algorithm is used for size 1x8, 8x8 matrices. |
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The module was written for a perceptual hash project that needed 32x32 DCT-II, |
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and on a 2.5GHz 2015 Macbook Pro over 11500/s per thread are processed (C function). |
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The common 8x8 DCT-II uses a special path, (abut 250000 transforms per sec on the same CPU), |
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although for most image/video applications that require 8x8 DCT there are much faster |
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implementations (SIMD, approximations etc) that usually produce an already scaled result |
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for the specific application. |
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None of the algorithms used on this module are approximate, the test suite verifies |
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against a naive DCT-II implementation with a tolerance of 1e-08. |
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=head1 METHODS |
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=head2 C |
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my $dct = dct([[1,2],[3,4]]); |
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Pass an array (ref) of either a single array, or N N-length arrays for 1D and 2D |
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DCT-II calculation respectivelly. The output will be an arrayref of array(s) with |
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the result of the transform. |
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=cut |
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sub dct { |
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my $vector = shift; |
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die "Expect array of array(s)" |
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unless $vector && ref $vector eq 'ARRAY' |
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&& $vector->[0] && ref $vector->[0] eq 'ARRAY'; |
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my $dim = scalar(@$vector); |
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my $sz = scalar(@{$vector->[0]}); |
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die "Expect 1d or NxN 2d arrays" unless $dim == 1 || $dim == $sz; |
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my $pack; |
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for (my $x = 0; $x < $dim; $x++) { |
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$pack .= pack "d$sz", @{$vector->[$x]} |
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} |
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if ($dim > 1) { |
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$sz == 8 |
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? fct8_2d($pack) |
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: 0 == ($sz & ($sz - 1)) ? fast_dct_2d($pack, $sz) : dct_2d($pack, $sz); |
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} else { |
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$sz == 8 |
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? fct8_1d($pack) |
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: 0 == ($sz & ($sz - 1)) ? fast_dct_1d($pack, $sz) : dct_1d($pack, $sz); |
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} |
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my $result; |
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foreach (0..$dim-1) { |
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$result->[$_] = [unpack "d".($sz), substr $pack, $_ * $sz*8, $sz*8]; |
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} |
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return $result; |
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} |
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=head2 C |
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my $dct = dct1d([1,2,3]); |
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Pass an array (ref) for a 1D DCT-II calculation. The output will be an arrayref |
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with the result of the transform. |
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=cut |
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sub dct1d { |
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my $input = shift; |
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my $sz = scalar @$input; |
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my $pack = pack "d$sz", @$input; |
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? fct8_1d($pack) |
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: 0 == ($sz & ($sz - 1)) ? fast_dct_1d($pack, $sz) : dct_1d($pack, $sz); |
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my @result = unpack "d$sz", $pack; |
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return \@result; |
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} |
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=head2 C |
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my $dct = dct2d( |
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[1,2,3,4], # Arrayref containing your NxN matrix |
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2 # Optionally, the size N of your array (sqrt of its length) |
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); |
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Pass an array (ref) for a 2D DCT-II calculation. The length of the array is expected |
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to be a square (as only NxN arrays are supported) - you can optionally pass N as |
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the second argument to avoid a C calculation. |
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The output will be an arrayref with the result of the transform. |
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If your 2D data is available in a 1d array as is usual with most image manipulation |
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etc cases, this function will be faster than C, as the DCT calculation is |
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in any case done on a 1D array, hence you save the cost of conversion. |
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=cut |
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sub dct2d { |
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my $input = shift; |
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my $sz = shift || sqrt(scalar @$input); |
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my $pack = pack "d".($sz*$sz), @$input; |
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? fct8_2d($pack) |
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: 0 == ($sz & ($sz - 1)) ? fast_dct_2d($pack, $sz) : dct_2d($pack, $sz); |
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my @result = unpack "d".($sz*$sz), $pack; |
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return \@result; |
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} |
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=head1 USAGE NOTES |
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156
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The C functions are not exported, but theoretically you could use them directly |
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if you do your own C. The fast versions for power-of-2 size arrays |
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are C and C, while the generic versions are C |
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and C. The specialized size-8 versions are C and C. |
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First argument is a C (use C), second is the size N (except |
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for the fct8* functions which don't need a second argument). |
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163
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=head1 ACKNOWLEDGEMENTS |
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165
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Some code from Project Nayuki was adapted and improved upon. |
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(L) |
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169
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=head1 AUTHOR |
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171
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Dimitrios Kechagias, C<< >> |
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=head1 BUGS |
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175
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Please report any bugs or feature requests to C, |
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or through the web interface at L. |
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I will be notified, and then you'll automatically be notified of progress on your |
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bug as I make changes. |
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=head1 GIT |
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L |
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184
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=head1 COPYRIGHT & LICENSE |
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186
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Copyright (C) 2019, SpareRoom.com |
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This program is free software; you can redistribute |
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it and/or modify it under the same terms as Perl itself. |
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191
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=cut |
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1; |