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nvidia-texture-tools/src/nvimage/Filter.h

230 lines
5.0 KiB
C++

// This code is in the public domain -- castanyo@yahoo.es
#pragma once
#include "nvimage.h"
#include "nvcore/Debug.h"
namespace nv
{
class Vector4;
/// Base filter class.
class Filter
{
public:
Filter(float width);
virtual ~Filter();
float width() const { return m_width; }
float sampleDelta(float x, float scale) const;
float sampleBox(float x, float scale, int samples) const;
float sampleTriangle(float x, float scale, int samples) const;
virtual float evaluate(float x) const = 0;
protected:
const float m_width;
};
// Box filter.
class BoxFilter : public Filter
{
public:
BoxFilter();
BoxFilter(float width);
virtual float evaluate(float x) const;
};
// Triangle (bilinear/tent) filter.
class TriangleFilter : public Filter
{
public:
TriangleFilter();
TriangleFilter(float width);
virtual float evaluate(float x) const;
};
// Quadratic (bell) filter.
class QuadraticFilter : public Filter
{
public:
QuadraticFilter();
virtual float evaluate(float x) const;
};
// Cubic filter from Thatcher Ulrich.
class CubicFilter : public Filter
{
public:
CubicFilter();
virtual float evaluate(float x) const;
};
// Cubic b-spline filter from Paul Heckbert.
class BSplineFilter : public Filter
{
public:
BSplineFilter();
virtual float evaluate(float x) const;
};
/// Mitchell & Netravali's two-param cubic
/// @see "Reconstruction Filters in Computer Graphics", SIGGRAPH 88
class MitchellFilter : public Filter
{
public:
MitchellFilter();
virtual float evaluate(float x) const;
void setParameters(float b, float c);
private:
float p0, p2, p3;
float q0, q1, q2, q3;
};
// Lanczos3 filter.
class LanczosFilter : public Filter
{
public:
LanczosFilter();
virtual float evaluate(float x) const;
};
// Sinc filter.
class SincFilter : public Filter
{
public:
SincFilter(float w);
virtual float evaluate(float x) const;
};
// Kaiser filter.
class KaiserFilter : public Filter
{
public:
KaiserFilter(float w);
virtual float evaluate(float x) const;
void setParameters(float a, float stretch);
private:
float alpha;
float stretch;
};
// Gaussian filter.
class GaussianFilter : public Filter
{
public:
GaussianFilter(float w);
virtual float evaluate(float x) const;
void setParameters(float variance);
private:
float variance;
};
/// A 1D kernel. Used to precompute filter weights.
class Kernel1
{
NV_FORBID_COPY(Kernel1);
public:
Kernel1(const Filter & f, int iscale, int samples = 32);
~Kernel1();
float valueAt(uint x) const {
nvDebugCheck(x < (uint)m_windowSize);
return m_data[x];
}
int windowSize() const {
return m_windowSize;
}
float width() const {
return m_width;
}
void debugPrint();
private:
int m_windowSize;
float m_width;
float * m_data;
};
/// A 2D kernel.
class Kernel2
{
public:
Kernel2(uint width);
Kernel2(uint width, const float * data);
Kernel2(const Kernel2 & k);
~Kernel2();
void normalize();
void transpose();
float valueAt(uint x, uint y) const {
return m_data[y * m_windowSize + x];
}
uint windowSize() const {
return m_windowSize;
}
void initLaplacian();
void initEdgeDetection();
void initSobel();
void initPrewitt();
void initBlendedSobel(const Vector4 & scale);
private:
const uint m_windowSize;
float * m_data;
};
/// A 1D polyphase kernel
class PolyphaseKernel
{
NV_FORBID_COPY(PolyphaseKernel);
public:
PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples = 32);
~PolyphaseKernel();
int windowSize() const {
return m_windowSize;
}
uint length() const {
return m_length;
}
float width() const {
return m_width;
}
float valueAt(uint column, uint x) const {
nvDebugCheck(column < m_length);
nvDebugCheck(x < (uint)m_windowSize);
return m_data[column * m_windowSize + x];
}
void debugPrint() const;
private:
int m_windowSize;
uint m_length;
float m_width;
float * m_data;
};
} // nv namespace