/usr/include/CharLS/defaulttraits.h is in libcharls-dev 1.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// (C) Jan de Vaan 2007-2010, all rights reserved. See the accompanying "License.txt" for licensed use.
//
#include "header.h"
#ifndef CHARLS_DEFAULTTRAITS
#define CHARLS_DEFAULTTRAITS
// Default traits that support all JPEG LS parameters: custom limit, near, maxval (not power of 2)
// This traits class is used to initialize a coder/decoder.
// The coder/decoder also delegates some functions to the traits class.
// This is to allow the traits class to replace the default implementation here with optimized specific implementations.
// This is done for lossless coding/decoding: see losslesstraits.h
template <class sample, class pixel>
struct DefaultTraitsT
{
public:
typedef sample SAMPLE;
typedef pixel PIXEL;
LONG MAXVAL;
LONG RANGE;
LONG NEAR;
LONG qbpp;
LONG bpp;
LONG LIMIT;
LONG RESET;
DefaultTraitsT(const DefaultTraitsT& src) :
MAXVAL(src.MAXVAL),
RANGE(src.RANGE),
NEAR(src.NEAR),
qbpp(src.qbpp),
bpp(src.bpp),
LIMIT(src.LIMIT),
RESET(src.RESET)
{
}
DefaultTraitsT(LONG max, LONG jls_near)
{
NEAR = jls_near;
MAXVAL = max;
RANGE = (MAXVAL + 2 * NEAR )/(2 * NEAR + 1) + 1;
bpp = log_2(max);
LIMIT = 2 * (bpp + MAX(8,bpp));
qbpp = log_2(RANGE);
RESET = BASIC_RESET;
}
inlinehint LONG ComputeErrVal(LONG e) const
{
LONG q = Quantize(e);
return ModRange(q);
}
inlinehint SAMPLE ComputeReconstructedSample(LONG Px, LONG ErrVal)
{
return FixReconstructedValue(Px + DeQuantize(ErrVal));
}
inlinehint bool IsNear(LONG lhs, LONG rhs) const
{ return abs(lhs-rhs) <=NEAR; }
bool IsNear(Triplet<SAMPLE> lhs, Triplet<SAMPLE> rhs) const
{
return abs(lhs.v1-rhs.v1) <=NEAR &&
abs(lhs.v2-rhs.v2) <=NEAR &&
abs(lhs.v3-rhs.v3) <=NEAR;
}
inlinehint LONG CorrectPrediction(LONG Pxc) const
{
if ((Pxc & MAXVAL) == Pxc)
return Pxc;
return (~(Pxc >> (LONG_BITCOUNT-1))) & MAXVAL;
}
inlinehint LONG ModRange(LONG Errval) const
{
ASSERT(abs(Errval) <= RANGE);
if (Errval < 0)
Errval = Errval + RANGE;
if (Errval >= ((RANGE + 1) / 2))
Errval = Errval - RANGE;
ASSERT(abs(Errval) <= RANGE/2);
return Errval;
}
private:
LONG Quantize(LONG Errval) const
{
if (Errval > 0)
return (Errval + NEAR) / (2 * NEAR + 1);
else
return - (NEAR - Errval) / (2 * NEAR + 1);
}
inlinehint LONG DeQuantize(LONG Errval) const
{
return Errval * (2 * NEAR + 1);
}
inlinehint SAMPLE FixReconstructedValue(LONG val) const
{
if (val < -NEAR)
val = val + RANGE*(2*NEAR+1);
else if (val > MAXVAL + NEAR)
val = val - RANGE*(2*NEAR+1);
return SAMPLE(CorrectPrediction(val));
}
};
#endif
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