satdump/plugins/xrit_support/DecompWT/CACModel.h

223 lines
6.2 KiB
C++

/*
* Copyright 2011-2019, European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef CACModel_included
#define CACModel_included
/*******************************************************************************
TYPE:
CACModel : Concrete class.
PURPOSE:
These classes handles the adaptative symbols probabilities to be used with entropy
coding.
FUNCTION:
Starting from an equi-probable distribution, the model adapts itself each time a
symbol is encoded by managing symbols frequency counts, cumulative frequency and
frequency-based symbol sorting.
INTERFACES:
See 'INTERFACES' in the module declaration below
RESOURCES:
Heap Memory (>2K).
REFERENCE:
"Arithmetic Coding for Data Compression"; Witten, Neal & Cleary;
Commun. ACM, vol. 30, pp 520-540, June 1987.
PROCESSING:
The symbols probabilities are initially equal, frequency counts are set to 1,
cumulative frequencies are computed according to initial symbol ordering.
Each time a symbol is encoded a model update is performed, the symbol frequency count
is incremented, a move-to-front technique is used to keep the symbols sorted
by frequency and the cumulative frequencies are computed appropriatelly.
When the the sum of the frequency counts exceeds a given threshold, the symbols
frequencies are scaled down by half to give more weight to more recents events.
DATA:
See 'DATA :' in the class header below.
LOGIC:
*******************************************************************************/
#include <memory>
#include "RMAErrorHandling.h"
#include "Bitlevel.h"
#include "WTConst.h"
namespace COMP
{
class CACModel
{
private:
// DATA:
const unsigned __int32 c_MaxFrequency; // upper limit for cumulative threshold
unsigned __int32 m_MaxFreq; // cumulative frequency threshold
unsigned int m_NbSymbols; // number of symbol handled by the model
unsigned __int32 m_Freq[33]; // frequency counts array
unsigned __int32 m_CumFreq[33]; // cumulative frequency counts array
unsigned int m_SymbolToIndex[33]; // symbol to sorting index array
unsigned int m_IndexToSymbol[33]; // sorting index to symbol array
// INTERFACES:
// Description: Performs the symbol frequencies rescaling.
// Returns: Nothing.
void Rescale();
public:
// INTERFACES:
// Description: Default constructor.
// Returns: Nothing.
CACModel()
: c_MaxFrequency((1UL << (c_ACNbBits - 2)) - 1), m_NbSymbols(0)
{
}
// Description: Get the number of symbols handled by the model [0, 32].
// Returns: The number of symbols.
unsigned int GetNbSymbols() const
{
return m_NbSymbols;
}
// Description: Get the frequency of the symbol given by its sorting index.
// 1 is the most probable symbol, GetNbSymbols() is the least
// probable one.
// Returns: The symbol frequency count.
unsigned __int32 GetFreq(
const unsigned int i_Index // sorting index of the symbol
)
const
{
COMP_TRYTHIS_SPEED
#ifdef _DEBUG
Assert(i_Index > 0 && i_Index <= m_NbSymbols, Util::CParamException());
#endif
return m_Freq[i_Index];
COMP_CATCHTHIS_SPEED
}
// Description: Get the cumulative frequency at a given sorting index.
// 1 is the most probable symbol, GetNbSymbols() is the least
// probable one,
// GetCumFreq(i) is equal to the sum of GetFreq(k) with
// k=[i+1, GetNbSymbols()]
// Returns: The cumulative frequency.
unsigned __int32 GetCumFreq(
const unsigned int i_Index // sorting index
)
const
{
COMP_TRYTHIS_SPEED
#ifdef _DEBUG
Assert(i_Index <= m_NbSymbols, Util::CParamException());
#endif
return m_CumFreq[i_Index];
COMP_CATCHTHIS_SPEED
}
// Description: Get the sorting index of a given symbol.
// Returns: The sorting index.
unsigned int GetIndex(
const unsigned int i_Symbol // the symbol [0, GetNbSymbols()[
)
const
{
COMP_TRYTHIS_SPEED
#ifdef _DEBUG
Assert(i_Symbol < m_NbSymbols, Util::CParamException());
#endif
return m_SymbolToIndex[i_Symbol];
COMP_CATCHTHIS_SPEED
}
// Description: Get the symbol associated with a given sorting index.
// Returns: The associated symbol.
unsigned int GetSymbol(
const unsigned int i_Index // the sorting index [1, GetNbSymbols()]
)
const
{
COMP_TRYTHIS_SPEED
#ifdef _DEBUG
Assert(i_Index > 0 && i_Index <= m_NbSymbols, Util::CParamException());
#endif
return m_IndexToSymbol[i_Index];
COMP_CATCHTHIS_SPEED
}
// Description: Check if the model has been initialised.
// Returns: true if the model was initialized, false otherwise.
bool IsInitialized() const
{
COMP_TRYTHIS_SPEED
return m_NbSymbols ? true : false;
COMP_CATCHTHIS_SPEED
}
// Description: Reset the symbol frequencies to the initial state (equi-probable).
// Returns: Nothing.
void Start();
// Description: Update the model after the encoding of the MPS.
// Returns: Nothing.
void UpdateMps()
{
COMP_TRYTHIS_SPEED
if (m_CumFreq[0] >= m_MaxFreq)
Rescale();
m_Freq[1]++;
m_CumFreq[0]++;
COMP_CATCHTHIS_SPEED
}
// Description: Update the model after the encoding of
// one of the LPS given by its sorting index.
// Returns: Nothing.
void UpdateLps(
const unsigned int i_Index // the sorting index
);
// Description: Initialise the model to handle a given number of symbols.
// Returns: Nothing.
void Initialize(
unsigned int i_NbS // the number of symbols [0, 32]
)
{
COMP_TRYTHIS
Assert(i_NbS <= 32, Util::CParamException());
m_NbSymbols = i_NbS;
if (i_NbS)
{
unsigned __int32 temp = (unsigned __int32)m_NbSymbols << 5;
m_MaxFreq = (temp < c_MaxFrequency) ? temp : c_MaxFrequency;
Start();
}
COMP_CATCHTHIS
}
};
} // end namespace
#endif