239 lines
5.2 KiB
C++
239 lines
5.2 KiB
C++
/*
|
|
* This file is part of RawTherapee.
|
|
*
|
|
* RawTherapee is free software: you can redistribute it and/or modify
|
|
* it under the terms of the GNU General Public License as published by
|
|
* the Free Software Foundation, either version 3 of the License, or
|
|
* (at your option) any later version.
|
|
*
|
|
* RawTherapee is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with RawTherapee. If not, see <http://www.gnu.org/licenses/>.
|
|
*
|
|
* 2010 Ilya Popov <ilia_popov@rambler.ru>
|
|
*/
|
|
|
|
#ifndef WAVELET_LEVEL_H_INCLUDED
|
|
#define WAVELET_LEVEL_H_INCLUDED
|
|
|
|
#include <cstddef>
|
|
#include <algorithm>
|
|
|
|
#include "wavelet.h"
|
|
|
|
namespace rtengine
|
|
{
|
|
|
|
template<typename T>
|
|
class limiter
|
|
{
|
|
T min_value, max_value;
|
|
public:
|
|
limiter(T min, T max)
|
|
: min_value(min), max_value(max)
|
|
{}
|
|
|
|
T operator()(T x)
|
|
{
|
|
if(x < min_value)
|
|
return min_value;
|
|
if(x > max_value)
|
|
return max_value;
|
|
return x;
|
|
}
|
|
};
|
|
|
|
template<typename T>
|
|
class noop
|
|
{
|
|
public:
|
|
T operator()(T x)
|
|
{
|
|
return x;
|
|
}
|
|
};
|
|
|
|
template<typename T>
|
|
inline T clip(T x, T min_value, T max_value)
|
|
{
|
|
if(x < min_value)
|
|
return min_value;
|
|
if(x > max_value)
|
|
return max_value;
|
|
return x;
|
|
}
|
|
|
|
template <typename A, typename B, typename L>
|
|
void plane_copy(A ** a, B ** b, size_t w, size_t h, L & l)
|
|
{
|
|
for(size_t j = 0; j < h; j++)
|
|
for(size_t i = 0; i < w; i++)
|
|
b[j][i] = static_cast<B>(l(a[j][i]));
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
|
|
template<typename T>
|
|
class wavelet_level
|
|
{
|
|
// full size
|
|
size_t m_w, m_h;
|
|
|
|
// size of low frequency part
|
|
size_t m_w2, m_h2;
|
|
|
|
// array of pointers to lines of coeffs
|
|
// actually is a single contiguous data array pointed by m_coeffs[0]
|
|
T ** m_coeffs;
|
|
|
|
// weights storage
|
|
T ** m_weights_rows;
|
|
T ** m_weights_cols;
|
|
|
|
// allocation and destruction of data storage
|
|
T ** create(size_t w, size_t h);
|
|
void destroy(T ** p);
|
|
|
|
void dwt_2d(size_t w, size_t h);
|
|
void idwt_2d(size_t w, size_t h, int alpha);
|
|
|
|
public:
|
|
|
|
template<typename E>
|
|
wavelet_level(E ** src, size_t w, size_t h)
|
|
: m_w(w), m_h(h), m_w2((w+1)/2), m_h2((h+1)/2),
|
|
m_coeffs(NULL), m_weights_rows(NULL), m_weights_cols(NULL)
|
|
{
|
|
m_coeffs = create(w, h);
|
|
m_weights_rows = create(w + 4, h);
|
|
m_weights_cols = create(h + 4, w);
|
|
|
|
decompose(src);
|
|
}
|
|
|
|
~wavelet_level()
|
|
{
|
|
destroy(m_coeffs);
|
|
destroy(m_weights_rows);
|
|
destroy(m_weights_cols);
|
|
}
|
|
|
|
T ** lowfreq() const
|
|
{
|
|
return m_coeffs;
|
|
}
|
|
|
|
size_t lfw() const
|
|
{
|
|
return m_w2;
|
|
}
|
|
|
|
size_t lfh() const
|
|
{
|
|
return m_h2;
|
|
}
|
|
|
|
template<typename E>
|
|
void decompose(E ** src);
|
|
|
|
template<typename E, typename L>
|
|
void reconstruct(E ** dst, int alpha, L & limiter);
|
|
};
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
|
|
template<typename T>
|
|
void wavelet_level<T>::dwt_2d(size_t w, size_t h)
|
|
{
|
|
T * buffer = new T[std::max(w, h) + 4];
|
|
|
|
for(size_t j = 0; j < h; j++)
|
|
{
|
|
//dwt_haar(m_coeffs[j], 1, buffer, w);
|
|
//dwt_53(m_coeffs[j], 1, buffer, w);
|
|
dwt_wcdf(m_coeffs[j], 1, buffer, w, m_weights_rows[j]);
|
|
}
|
|
|
|
for(size_t i = 0; i < w; i++)
|
|
{
|
|
//dwt_haar(&m_coeffs[0][i], m_pitch, buffer, h);
|
|
//dwt_53(&m_coeffs[0][i], w, buffer, h);
|
|
dwt_wcdf(&m_coeffs[0][i], w, buffer, h, m_weights_cols[i]);
|
|
}
|
|
|
|
delete[] buffer;
|
|
}
|
|
|
|
template<typename T>
|
|
void wavelet_level<T>::idwt_2d(size_t w, size_t h, int alpha)
|
|
{
|
|
T * buffer = new T[std::max(w, h) + 4];
|
|
|
|
for(size_t i = 0; i < w; i++)
|
|
{
|
|
//idwt_haar(&m_coeffs[0][i], m_pitch, buffer, h, alpha);
|
|
//idwt_53(&m_coeffs[0][i], w, buffer, h, alpha);
|
|
idwt_wcdf(&m_coeffs[0][i], w, buffer, h, alpha, m_weights_cols[i]);
|
|
//idwt_noop(&m_coeffs[0][i], w, buffer, h, alpha);
|
|
}
|
|
|
|
for(size_t j = 0; j < h; j++)
|
|
{
|
|
//idwt_haar(m_coeffs[j], 1, buffer, w, alpha);
|
|
//idwt_53(m_coeffs[j], 1, buffer, w, alpha);
|
|
idwt_wcdf(m_coeffs[j], 1, buffer, w, alpha, m_weights_rows[j]);
|
|
//idwt_noop(m_coeffs[j], 1, buffer, w, alpha);
|
|
}
|
|
|
|
delete[] buffer;
|
|
}
|
|
|
|
template<typename T>
|
|
T ** wavelet_level<T>::create(size_t w, size_t h)
|
|
{
|
|
T * data = new T[w * h];
|
|
T ** p = new T*[h];
|
|
for(size_t j = 0; j < h; j++)
|
|
{
|
|
p[j] = data + w * j;
|
|
}
|
|
return p;
|
|
}
|
|
|
|
template<typename T>
|
|
void wavelet_level<T>::destroy(T ** p)
|
|
{
|
|
if(p)
|
|
{
|
|
delete[] p[0];
|
|
|
|
delete[] p;
|
|
}
|
|
}
|
|
|
|
template<typename T> template<typename E>
|
|
void wavelet_level<T>::decompose(E ** src)
|
|
{
|
|
noop<T> l;
|
|
|
|
plane_copy(src, m_coeffs, m_w, m_h, l);
|
|
|
|
dwt_2d(m_w, m_h);
|
|
}
|
|
|
|
template<typename T> template<typename E, typename L>
|
|
void wavelet_level<T>::reconstruct(E ** dst, int alpha, L & l)
|
|
{
|
|
idwt_2d(m_w, m_h, alpha);
|
|
|
|
plane_copy(m_coeffs, dst, m_w, m_h, l);
|
|
}
|
|
|
|
};
|
|
|
|
#endif
|