TexConv/CMP_CompressonatorLib/BC7/3dquant_vpc.h

//===============================================================================
// Copyright (c) 2007-2016  Advanced Micro Devices, Inc. All rights reserved.
// Copyright (c) 2004-2006 ATI Technologies Inc.
//===============================================================================
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files(the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions :
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// THE SOFTWARE.

#ifndef _3DQUANT_H_INCLUDED

#define _3DQUANT_H_INCLUDED

typedef struct {
    double d;
    int i;
} a;

void sortProjection(double projection[MAX_ENTRIES], int order[MAX_ENTRIES], int numEntries);
void covariance(double data[][DIMENSION], int numEntries, double cov[DIMENSION][DIMENSION]);
void centerInPlace(double data[][DIMENSION], int numEntries, double mean[DIMENSION]);
void project(double data[][DIMENSION], int numEntries, double vector[DIMENSION], double projection[MAX_ENTRIES]);
void sortProjection(double projection[MAX_ENTRIES], int order[MAX_ENTRIES], int numEntries);
void eigenVector(double cov[DIMENSION][DIMENSION], double vector[DIMENSION]);
double partition2 (double data[][DIMENSION], int numEntries,int index[]);

double optQuantEven(
    double data[MAX_ENTRIES][DIMENSION],
    int numEntries, int numClusters, int index[MAX_ENTRIES],
    double out[MAX_ENTRIES][DIMENSION],
    double direction [DIMENSION],double *step
) ;

double totalError(double data[MAX_ENTRIES][DIMENSION],double data2[MAX_ENTRIES][DIMENSION],int numEntries);
double totalError_d(double data[MAX_ENTRIES][MAX_DIMENSION_BIG],double data2[MAX_ENTRIES][MAX_DIMENSION_BIG],int numEntries, int dimension);

/****************************************************/
/****************************************************/
//
// Trace dirven continious quntizer
// traceBuilder/ allTrace builder should be called once first to initilize static trace (file static)
//
//    returns resulting error
//
double optQuantTrace(
    double data[MAX_ENTRIES][DIMENSION],    // input data
    int numEntries,                            // number of input points above (not clear about 1, better to avoid)
    int numClusters,                        // number of clusters on the ramp, max 8 (not clear about 1, better to avoid)
    int index[MAX_ENTRIES],                    // output index, if not all points of the ramp used, 0 may not be assigned
    double out[MAX_ENTRIES][DIMENSION],        // resulting quantization
    double direction [DIMENSION],            // direction vector of the ramp (check normalization)
    double *step                            // step size (check normalization)
);

double optQuantTrace_d(
    double data[MAX_ENTRIES][MAX_DIMENSION_BIG],    // input data
    int numEntries,                            // number of input points above (not clear about 1, better to avoid)
    int numClusters,                        // number of clusters on the ramp, max 8 (not clear about 1, better to avoid)
    int index[MAX_ENTRIES],                    // output index, if not all points of the ramp used, 0 may not be assigned
    double out[MAX_ENTRIES][MAX_DIMENSION_BIG],        // resulting quantization
    double direction [MAX_DIMENSION_BIG],            // direction vector of the ramp (check normalization)
    double *step,                            // step size (check normalization)
    int dimension);

/****************************************************/
/****************************************************/
/****************************************************/

//
//    ping-pong style  KATC type (but for RGB x 2)  trace (with fallback to quantAnD (?) driven "continius" quantizer
//
double optQuant2Trace(
    double data[MAX_ENTRIES][DIMENSION],
    int numEntries, int numClusters, int index_[MAX_ENTRIES],
    double out_[MAX_ENTRIES][DIMENSION],
    double direction [DIMENSION],double *step
);

void printStep (void);

/********************************************/
// continious quantizer for 16 clusters, could use bette testing
double optQuantAnD(
    double data[MAX_ENTRIES][DIMENSION],  // 0-255
    int numEntries, int numClusters, int index[MAX_ENTRIES],
    double out[MAX_ENTRIES][DIMENSION],
    double direction [DIMENSION],double *step
);


double optQuantAnD_d(
    double data[MAX_ENTRIES][MAX_DIMENSION_BIG],  // 0-255
    int numEntries, int numClusters, int index[MAX_ENTRIES],
    double out[MAX_ENTRIES][MAX_DIMENSION_BIG],
    double direction [MAX_DIMENSION_BIG],double *step,
    int dimension
);

/********************************************/


double superQuantAnD(
    double data[MAX_ENTRIES][DIMENSION],
    int numEntries, int numClusters, int index[MAX_ENTRIES],
    double out[MAX_ENTRIES][DIMENSION],
    double direction [DIMENSION],double *step
);

int reconstructGetDirConstr (
    double data[MAX_ENTRIES][DIMENSION],
    double mean[DIMENSION],
    int numEntries,
    int numClusters,
    int index[MAX_ENTRIES],
    double direction [DIMENSION],
    double *step,
    double *idxmean,
    int clump
);

// New
void Quant_Init();
void Quant_DeInit();

// Externs
extern void init_ramps(void);

#endif