rawTherapee/rtengine/wavelet_level.h

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