Files
rawTherapee/rtengine/wavelet_level.h
ffsup2 eef14f76dd Added dark frame subtraction
Moved debayer and preprocessing parameters to class ProcParams for every single image.
Added tab RAW for changing those parameters.
Progress bar shows only load step (work to do)
2010-08-19 00:37:53 +02:00

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