jcmp: My image compression format (w/ wavelets)
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#include <vector>
#include <iostream>
#include <iterator>
#include <numeric>
#include <cassert>
#include <cmath>
#include <boost/assign.hpp>
#include "striding_iterator.hpp"
#include "periodic_iterator.hpp"
#include "wavelet.hpp"
bool is_pow_of_two(int n){
return (n & (n - 1)) == 0;
}
template <typename Iterator>
void shuffle(Iterator begin, Iterator end){
typedef typename std::iterator_traits<Iterator>::value_type value_type;
typedef typename std::iterator_traits<Iterator>::difference_type diff_type;
diff_type s = end - begin;
assert(s % 2 == 0);
std::vector<value_type> v(s);
std::copy(strided(begin , 2), strided(end , 2), v.begin());
std::copy(strided(begin+1, 2), strided(end+1, 2), v.begin() + s/2);
std::copy(v.begin(), v.end(), begin);
}
template <typename Iterator>
void unshuffle(Iterator begin, Iterator end){
typedef typename std::iterator_traits<Iterator>::value_type value_type;
typedef typename std::iterator_traits<Iterator>::difference_type diff_type;
diff_type s = end - begin;
assert(s % 2 == 0);
std::vector<value_type> v(s);
std::copy(begin, begin + s/2, strided(v.begin(), 2));
std::copy(begin + s/2, end, strided(v.begin()+1, 2));
std::copy(v.begin(), v.end(), begin);
}
template <typename Iterator>
void wavelet(Iterator begin, Iterator end){
int s = end - begin;
for(int i = s; i >= 4; i >>= 1){
// half interval
end = begin + i;
assert(is_pow_of_two(end - begin));
// multiply with Wn
wavelet_mul(begin, end);
// then with Sn
shuffle(begin, end);
}
}
template <typename Iterator>
void unwavelet(Iterator begin, Iterator end){
int s = end - begin;
for(int i = 4; i <= s; i <<= 1){
// double interval
end = begin + i;
assert(is_pow_of_two(end - begin));
// unshuffle: Sn^-1
unshuffle(begin, end);
// then Wn^-1
wavelet_inv(begin, end);
}
}
struct filter{
filter(double threshold)
: threshold(threshold)
{}
void operator()(double& x){
if(std::abs(x) <= threshold) x = 0;
}
double threshold;
};
int main(){
using namespace boost::assign;
std::vector<double> input;
input += 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0;
// print input
std::copy(input.begin(), input.end(), std::ostream_iterator<double>(std::cout, "\n"));
std::cout << std::endl;
std::vector<double> thresholds;
thresholds += 0.0, 0.1, 0.2, 0.5;
for(int i = 0; i < thresholds.size(); ++i){
std::vector<double> v;
v = input;
// transform to wavelet domain
wavelet(v.begin(), v.end());
// apply threshold
std::for_each(v.begin(), v.end(), filter(thresholds[i]));
int zeros = std::count(v.begin(), v.end(), 0.0);
// transform back to sample domain
unwavelet(v.begin(), v.end());
// print compressed
std::cout << "\ncp: " << zeros / double(v.size()) << std::endl;
std::copy(v.begin(), v.end(), std::ostream_iterator<double>(std::cout, "\n"));
std::cout << std::endl;
}
}