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/*******************************************************************************
* imageutil.cpp
*
* This module implements the mapped textures including image map, bump map
* and material map.
*
* ---------------------------------------------------------------------------
* Persistence of Vision Ray Tracer ('POV-Ray') version 3.7.
* Copyright 1991-2013 Persistence of Vision Raytracer Pty. Ltd.
*
* POV-Ray is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* POV-Ray 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
* ---------------------------------------------------------------------------
* POV-Ray is based on the popular DKB raytracer version 2.12.
* DKBTrace was originally written by David K. Buck.
* DKBTrace Ver 2.0-2.12 were written by David K. Buck & Aaron A. Collins.
* ---------------------------------------------------------------------------
* $File: //depot/public/povray/3.x/source/backend/support/imageutil.cpp $
* $Revision: #1 $
* $Change: 6069 $
* $DateTime: 2013/11/06 11:59:40 $
* $Author: chrisc $
*******************************************************************************/
#include <boost/scoped_ptr.hpp>
// frame.h must always be the first POV file included (pulls in platform config)
#include "backend/frame.h"
#include "backend/support/imageutil.h"
#include "backend/math/vector.h"
#include "backend/pattern/pattern.h"
#include "backend/colour/colour.h"
#include "backend/support/fileutil.h"
#include "base/pov_err.h"
#ifdef SYS_IMAGE_HEADER
#include SYS_IMAGE_HEADER
#endif
// this must be the last file included
#include "base/povdebug.h"
namespace pov
{
/*****************************************************************************
* Local preprocessor defines
******************************************************************************/
/*****************************************************************************
* Local typedefs
******************************************************************************/
/*****************************************************************************
* Local variables
******************************************************************************/
const DBL DIV_1_BY_65535 = 1.0 / 65535.0;
const DBL DIV_1_BY_255 = 1.0 / 255.0;
/*****************************************************************************
* Static functions
******************************************************************************/
static int cylindrical_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v);
static int torus_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v);
static int spherical_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v);
static int planar_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v);
static void no_interpolation(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul);
static void bilinear(DBL *factors, DBL x, DBL y);
static void norm_dist(DBL *factors, DBL x, DBL y);
static void cubic(DBL *factors, DBL x);
static void Interp(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul);
static void InterpolateBicubic(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul);
static void image_colour_at(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index); // TODO ALPHA - caller should decide whether to prefer premultiplied or non-premultiplied alpha
static void image_colour_at(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul);
static int map_pos(const VECTOR EPoint, const TPATTERN *Turb, DBL *xcoor, DBL *ycoor);
/*
* 2-D to 3-D Procedural Texture Mapping of a Bitmapped Image onto an Object:
*
* A. Simplistic (planar) method of image projection devised by DKB and AAC:
*
* 1. Transform texture in 3-D space if requested. 2. Determine local object 2-d
* coords from 3-d coords by <X Y Z> triple. 3. Return pixel color value at
* that position on the 2-d plane of "Image". 3. Map colour value in Image
* [0..255] to a more normal colour range [0..1].
*
* B. Specialized shape projection variations by Alexander Enzmann:
*
* 1. Cylindrical mapping 2. Spherical mapping 3. Torus mapping
*/
/*****************************************************************************
*
* FUNCTION
*
* image_map
*
* INPUT
*
* EPoint -- 3-D point at which function is evaluated
* Pigment -- Pattern containing various parameters
*
* OUTPUT
*
* Colour -- color at EPoint
*
* RETURNS
*
* int - true, if current point on the image map
* false, if current point is not on the image map
*
* AUTHOR
*
* POV-Ray Team
*
* DESCRIPTION : Determines color of a 3-D point from a 2-D bitmap
*
* CHANGES
*
******************************************************************************/
bool image_map(const VECTOR EPoint, const PIGMENT *Pigment, Colour& colour)
{
// TODO ALPHA - the caller does expect non-premultiplied data, but maybe he could profit from premultiplied data?
int reg_number;
DBL xcoor = 0.0, ycoor = 0.0;
// If outside map coverage area, return clear
if(map_pos(EPoint, ((const TPATTERN *) Pigment), &xcoor, &ycoor))
{
colour = Colour(1.0, 1.0, 1.0, 0.0, 1.0);
return false;
}
else
image_colour_at(Pigment->Vals.image, xcoor, ycoor, colour, ®_number, false);
return true;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* Very different stuff than the other routines here. This routine takes an
* intersection point and a texture and returns a new texture based on the
* index/color of that point in an image/materials map. CdW 7/91
*
* CHANGES
*
******************************************************************************/
TEXTURE *material_map(const VECTOR EPoint, const TEXTURE *Texture)
{
int reg_number = -1;
int Material_Number;
int numtex;
DBL xcoor = 0.0, ycoor = 0.0;
Colour colour;
TEXTURE *Temp_Tex;
/*
* Now we have transformed x, y, z we use image mapping routine to determine
* texture index.
*/
if(map_pos(EPoint, ((const TPATTERN *) Texture), &xcoor, &ycoor))
Material_Number = 0;
else
{
image_colour_at(Texture->Vals.image, xcoor, ycoor, colour, ®_number); // TODO ALPHA - we should decide whether we prefer premultiplied or non-premultiplied alpha
if(reg_number == -1)
Material_Number = (int)(colour[pRED] * 255.0);
else
Material_Number = reg_number;
}
if(Material_Number > Texture->Num_Of_Mats)
Material_Number %= Texture->Num_Of_Mats;
for(numtex = 0, Temp_Tex = Texture->Materials;
(Temp_Tex->Next_Material != NULL) && (numtex < Material_Number);
Temp_Tex = Temp_Tex->Next_Material, numtex++)
{
// do nothing
}
return (Temp_Tex);
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
void bump_map(const VECTOR EPoint, const TNORMAL *Tnormal, VECTOR normal)
{
DBL xcoor = 0.0, ycoor = 0.0;
int index = -1, index2 = -1, index3 = -1;
Colour colour1, colour2, colour3;
VECTOR p1, p2, p3;
VECTOR bump_normal;
VECTOR xprime, yprime, zprime, Temp;
DBL Length;
DBL Amount = Tnormal->Amount;
const ImageData *image = Tnormal->Vals.image;
// going to have to change this
// need to know if bump point is off of image for all 3 points
if(map_pos(EPoint, (const TPATTERN *) Tnormal, &xcoor, &ycoor))
return;
else
image_colour_at(image, xcoor, ycoor, colour1, &index); // TODO ALPHA - we should decide whether we prefer premultiplied or non-premultiplied alpha
xcoor--;
ycoor++;
if(xcoor < 0.0)
xcoor += (DBL)image->iwidth;
else if(xcoor >= image->iwidth)
xcoor -= (DBL)image->iwidth;
if(ycoor < 0.0)
ycoor += (DBL)image->iheight;
else if(ycoor >= (DBL)image->iheight)
ycoor -= (DBL)image->iheight;
image_colour_at(image, xcoor, ycoor, colour2, &index2); // TODO ALPHA - we should decide whether we prefer premultiplied or non-premultiplied alpha
xcoor += 2.0;
if(xcoor < 0.0)
xcoor += (DBL)image->iwidth;
else if(xcoor >= image->iwidth)
xcoor -= (DBL)image->iwidth;
image_colour_at(image, xcoor, ycoor, colour3, &index3); // TODO ALPHA - we should decide whether we prefer premultiplied or non-premultiplied alpha
if(image->Use || (index == -1) || (index2 == -1) || (index3 == -1))
{
p1[X] = 0;
p1[Y] = Amount * colour1.greyscale();
p1[Z] = 0;
p2[X] = -1;
p2[Y] = Amount * colour2.greyscale();
p2[Z] = 1;
p3[X] = 1;
p3[Y] = Amount * colour3.greyscale();
p3[Z] = 1;
}
else
{
p1[X] = 0;
p1[Y] = Amount * index;
p1[Z] = 0;
p2[X] = -1;
p2[Y] = Amount * index2;
p2[Z] = 1;
p3[X] = 1;
p3[Y] = Amount * index3;
p3[Z] = 1;
}
// we have points 1,2,3 for a triangle now we need the surface normal for it
VSub(xprime, p1, p2);
VSub(yprime, p3, p2);
VCross(bump_normal, yprime, xprime);
VNormalize(bump_normal, bump_normal);
Assign_Vector(yprime, normal);
Make_Vector(Temp, 0.0, 1.0, 0.0);
VCross(xprime, yprime, Temp);
VLength(Length, xprime);
if(Length < EPSILON)
{
if(fabs(normal[Y] - 1.0) < EPSILON)
{
Make_Vector(yprime, 0.0, 1.0, 0.0);
Make_Vector(xprime, 1.0, 0.0, 0.0);
Length = 1.0;
}
else
{
Make_Vector(yprime, 0.0, -1.0, 0.0);
Make_Vector(xprime, 1.0, 0.0, 0.0);
Length = 1.0;
}
}
VScaleEq(xprime, 1.0 / Length);
VCross(zprime, xprime, yprime);
VNormalizeEq(zprime);
VScaleEq(xprime, bump_normal[X]);
VScaleEq(yprime, bump_normal[Y]);
VScaleEq(zprime, bump_normal[Z]);
VAdd(Temp, xprime, yprime);
VScaleEq(zprime, -1);
VAdd(normal, Temp, zprime);
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR Nathan Kopp
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
DBL image_pattern(const VECTOR EPoint, const TPATTERN *TPattern)
{
DBL xcoor = 0.0, ycoor = 0.0;
int index = -1;
Colour colour;
const ImageData *image = TPattern->Vals.image;
DBL Value;
colour.clear();
// going to have to change this
// need to know if bump point is off of image for all 3 points
if(map_pos(EPoint, TPattern, &xcoor, &ycoor))
return 0.0;
else
image_colour_at(image, xcoor, ycoor, colour, &index); // TODO ALPHA - we should decide whether we prefer premultiplied or non-premultiplied alpha
if((index == -1) || image->Use)
{
if(image->Use == USE_ALPHA)
{
// use alpha channel or red channel
if(image->data->HasTransparency() == true)
Value = colour[pTRANSM];
else
Value = colour[pRED]; // otherwise, just use the red channel
}
else
// use grey-scaled version of the color
Value = colour.greyscale();
}
else
Value = index / 255.0;
if(Value < 0)
Value = 0;
else if(Value > 1.0)
Value = 1.0;
return Value;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
static void image_colour_at(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index)
{
// TODO ALPHA - caller should decide whether to prefer premultiplied or non-premultiplied alpha
// As the caller isn't sure whether to prefer premultiplied or non-premultiplied alpha,
// we'll just give him what the original image source provided.
image_colour_at(image, xcoor, ycoor, colour, index, image->data->IsPremultiplied());
}
static void image_colour_at(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul)
{
*index = -1;
// if either source or destination uses premultiplied alpha, make sure interpolation is done in premultiplied space
// as it makes the mathematical operations cleaner
bool getPremul = premul || image->data->IsPremultiplied();
switch(image->Interpolation_Type)
{
case NO_INTERPOLATION:
no_interpolation(image, xcoor, ycoor, colour, index, getPremul);
break;
case BICUBIC:
InterpolateBicubic(image, xcoor, ycoor, colour, index, getPremul);
break;
default:
Interp(image, xcoor, ycoor, colour, index, getPremul);
break;
}
if (!premul && getPremul)
{
// we fetched premultiplied data, but caller expects it non-premultiplied, so we need to fix that
float alpha = colour.FTtoA();
if (float(alpha) > EPSILON)
{
colour.red() /= alpha;
colour.green() /= alpha;
colour.blue() /= alpha;
}
}
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
HF_VAL image_height_at(const ImageData *image, int x, int y)
{
// TODO ALPHA - handling of premultiplied vs. non-premultiplied alpha needs to be considered
float r, g, b;
// for 8-bit indexed images, use the index (scaled to match short int range)
if (image->data->IsIndexed())
return ((HF_VAL)image->data->GetIndexedValue(x, y) * 256);
// TODO FIXME - should be *257 to get a max value of 255*257 = 65535
/* [JG-2013]: do not change 256 for 257, due to backward compatibility with all versions up to 3.6
* it's a shame to not being able to cover the full range when using indexed image, but
* it was like that for a very very long time (since the introduction of height field in povray)
*/
// for greyscale images, use the float greyscale value (scaled to match short int range)
if (image->data->IsGrayscale())
return ((HF_VAL) (image->data->GetGrayValue(x, y) * 65535.0f));
image->data->GetRGBValue(x, y, r, g, b);
// for images with high bit depth (>8 bit per color channel), use the float greyscale value (scaled to match short int range)
if (image->data->GetMaxIntValue() > 255)
return ((HF_VAL) (GREY_SCALE3 (r, g, b) * 65535.0f));
// for images with low bit depth (<=8 bit per color channel), compose from red (high byte) and green (low byte) channel.
return ((HF_VAL) ((r * 256.0 + g) * 255.0));
// [JG-2013] : the high byte / low byte is (r *255) * 256 + (g*255) , which is factored as (r*256+g)*255 (was issue flyspray #308)
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
bool is_image_opaque(const ImageData *image)
{
return image->data->IsOpaque();
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* Map a point (x, y, z) on a cylinder of radius 1, height 1, that has its axis
* of symmetry along the y-axis to the square [0,1]x[0,1].
*
* CHANGES
*
******************************************************************************/
static int cylindrical_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v)
{
DBL len, theta;
DBL x = EPoint[X];
DBL y = EPoint[Y];
DBL z = EPoint[Z];
if((image->Once_Flag) && ((y < 0.0) || (y > 1.0)))
return 0;
*v = fmod(y * image->height, (DBL)image->height);
// Make sure this vector is on the unit sphere.
len = sqrt(x * x + y * y + z * z);
if (len == 0.0)
{
return 0;
}
else
{
x /= len;
z /= len;
}
// Determine its angle from the point (1, 0, 0) in the x-z plane.
len = sqrt(x * x + z * z);
if(len == 0.0)
return 0;
else
{
if(z == 0.0)
{
if(x > 0)
theta = 0.0;
else
theta = M_PI;
}
else
{
theta = acos(x / len);
if(z < 0.0)
theta = TWO_M_PI - theta;
}
theta /= TWO_M_PI; // This will be from 0 to 1
}
*u = (theta * image->width);
return 1;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* Map a point (x, y, z) on a torus to a 2-d image.
*
* CHANGES
*
******************************************************************************/
static int torus_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v)
{
DBL len, phi, theta;
DBL r0;
DBL x = EPoint[X];
DBL y = EPoint[Y];
DBL z = EPoint[Z];
r0 = image->Gradient[X];
// Determine its angle from the x-axis.
len = sqrt(x * x + z * z);
if(len == 0.0)
return 0;
else if(z == 0.0)
{
if(x > 0)
theta = 0.0;
else
theta = M_PI;
}
else
{
theta = acos(x / len);
if(z < 0.0)
theta = TWO_M_PI - theta;
}
theta = 0.0 - theta;
// Now rotate about the y-axis to get the point (x, y, z) into the x-y plane.
x = len - r0;
len = sqrt(x * x + y * y);
phi = acos(-x / len);
if(y > 0.0)
phi = TWO_M_PI - phi;
// Determine the parametric coordinates.
theta /= TWO_M_PI;
phi /= TWO_M_PI;
*u = (-theta * image->width);
*v = (phi * image->height);
return 1;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* Map a point (x, y, z) on a sphere of radius 1 to a 2-d image. (Or is it the
* other way around?)
*
* CHANGES
*
******************************************************************************/
static int spherical_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v)
{
DBL len, phi, theta;
DBL x = EPoint[X];
DBL y = EPoint[Y];
DBL z = EPoint[Z];
// Make sure this vector is on the unit sphere.
len = sqrt(x * x + y * y + z * z);
if(len == 0.0)
return 0;
else
{
x /= len;
y /= len;
z /= len;
}
// Determine its angle from the x-z plane.
phi = 0.5 + asin(y) / M_PI; // This will be from 0 to 1
// Determine its angle from the point (1, 0, 0) in the x-z plane.
len = sqrt(x * x + z * z);
if(len == 0.0)
// This point is at one of the poles. Any value of xcoord will be ok...
theta = 0;
else
{
if(z == 0.0)
{
if(x > 0)
theta = 0.0;
else
theta = M_PI;
}
else
{
theta = acos(x / len);
if(z < 0.0)
theta = TWO_M_PI - theta;
}
theta /= TWO_M_PI; // This will be from 0 to 1
}
*u = (theta * image->width);
*v = (phi * image->height);
return 1;
}
/*
* 2-D to 3-D Procedural Texture Mapping of a Bitmapped Image onto an Object:
*
* Simplistic planar method of object image projection devised by DKB and AAC.
*
* 1. Transform texture in 3-D space if requested. 2. Determine local object 2-d
* coords from 3-d coords by <X Y Z> triple. 3. Return pixel color value at
* that position on the 2-d plane of "Image". 3. Map colour value in Image
* [0..255] to a more normal colour range [0..1].
*/
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* Return 0 if there is no color at this point (i.e. invisible), return 1 if a
* good mapping is found.
*
* CHANGES
*
******************************************************************************/
static int planar_image_map(const VECTOR EPoint, const ImageData *image, DBL *u, DBL *v)
{
DBL x = EPoint[X];
DBL y = EPoint[Y];
DBL z = EPoint[Z];
if(image->Gradient[X] != 0.0)
{
if((image->Once_Flag) && ((x < 0.0) || (x > 1.0)))
return 0;
if(image->Gradient[X] > 0)
*u = fmod(x * image->width, (DBL) image->width);
else
*v = fmod(x * image->height, (DBL) image->height);
}
if(image->Gradient[Y] != 0.0)
{
if((image->Once_Flag) && ((y < 0.0) || (y > 1.0)))
return 0;
if(image->Gradient[Y] > 0)
*u = fmod(y * image->width, (DBL) image->width);
else
*v = fmod(y * image->height, (DBL) image->height);
}
if(image->Gradient[Z] != 0.0)
{
if((image->Once_Flag) && ((z < 0.0) || (z > 1.0)))
return 0;
if(image->Gradient[Z] > 0)
*u = fmod(z * image->width, (DBL) image->width);
else
*v = fmod(z * image->height, (DBL) image->height);
}
return 1;
}
/*****************************************************************************
*
* FUNCTION
*
* map_pos
*
* INPUT
*
* EPoint -- 3-D point at which function is evaluated
* TPattern -- Pattern containing various parameters
*
* OUTPUT
*
* xcoor, ycoor -- 2-D result
*
* RETURNS
*
* Map returns 1 if point off of map 0 if on map
*
* AUTHOR
*
* POV-Ray Team
*
* DESCRIPTION : Maps a 3-D point to a 2-D point depending upon map type
*
* CHANGES
*
******************************************************************************/
static int map_pos(const VECTOR EPoint, const TPATTERN *TPattern, DBL *xcoor, DBL *ycoor)
{
const ImageData *image = TPattern->Vals.image;
// Now determine which mapper to use.
switch(image->Map_Type)
{
case PLANAR_MAP:
if(!planar_image_map(EPoint, image, xcoor, ycoor))
return (1);
break;
case SPHERICAL_MAP:
if(!spherical_image_map(EPoint, image, xcoor, ycoor))
return (1);
break;
case CYLINDRICAL_MAP:
if(!cylindrical_image_map(EPoint, image, xcoor, ycoor))
return (1);
break;
case TORUS_MAP:
if(!torus_image_map(EPoint, image, xcoor, ycoor))
return (1);
break;
default:
if(!planar_image_map(EPoint, image, xcoor, ycoor))
return (1);
break;
}
// Now make sure the point is on the image
// and apply integer repeats and offsets
*xcoor += image->Offset[U] + EPSILON;
*ycoor += image->Offset[V] + EPSILON;
if(image->Once_Flag)
{
if((*xcoor >= image->iwidth) || (*ycoor >= image->iheight) || (*xcoor < 0.0) || (*ycoor <0.0))
return (1);
}
*xcoor = wrap( *xcoor, (DBL)(image->iwidth));
*ycoor = wrap(-*ycoor, (DBL)(image->iheight)); // (Compensate for y coordinates on the images being upsidedown)
// sanity check; this should never kick in, unless wrap() has an implementation error.
assert ((*xcoor >= 0.0) && (*xcoor < (DBL)image->iwidth));
assert ((*ycoor >= 0.0) && (*ycoor < (DBL)image->iheight));
return (0);
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
static void no_interpolation(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul)
{
int iycoor, ixcoor;
if(image->Once_Flag)
{
// image is to be seen only once, so when taking samples for interpolation
// coordinates should not wrap around; instead, take the samples from the nearest
// pixel right at the edge of the image
if(xcoor < 0.0)
ixcoor = 0;
else if(xcoor >= (DBL)image->iwidth)
ixcoor = image->iwidth - 1;
else
ixcoor = (int)xcoor;
if(ycoor < 0.0)
iycoor = 0;
else if(ycoor >= (DBL)image->iheight)
iycoor = image->iheight - 1;
else
iycoor = (int)ycoor;
}
else
{
// image is to be repeated, so when taking samples for interpolation
// have coordinates wrap around
ixcoor = (int)wrap(xcoor, (DBL)image->iwidth);
iycoor = (int)wrap(ycoor, (DBL)image->iheight);
// sanity check; this should never kick in, unless wrap() has an implementation error,
// or there exists any positive int n such that (int)a < n does not hold true for all double a < (double)n
assert ((ixcoor >= 0) && (ixcoor < image->iwidth));
assert ((iycoor >= 0) && (iycoor < image->iheight));
}
image->data->GetRGBFTValue(ixcoor, iycoor, colour, premul);
if(image->data->IsIndexed() == false)
{
*index = -1;
// Note: Transmit_all supplements alpha channel
// TODO ALPHA - check how this affects premultiplied/non-premultiplied alpha considerations
colour[pTRANSM] += image->AllTransmit;
colour[pFILTER] += image->AllFilter;
}
else
*index = image->data->GetIndexedValue(ixcoor, iycoor);
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
// Interpolate color and filter values when mapping
static void Interp(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul)
{
int iycoor, ixcoor, i;
int Corners_Index[4];
Colour Corner_Colour[4];
DBL Corner_Factors[4];
xcoor += 0.5;
ycoor += 0.5;
iycoor = (int)ycoor;
ixcoor = (int)xcoor;
no_interpolation(image, (DBL)ixcoor, (DBL)iycoor, Corner_Colour[0], &Corners_Index[0], premul);
no_interpolation(image, (DBL)ixcoor - 1, (DBL)iycoor, Corner_Colour[1], &Corners_Index[1], premul);
no_interpolation(image, (DBL)ixcoor, (DBL)iycoor - 1, Corner_Colour[2], &Corners_Index[2], premul);
no_interpolation(image, (DBL)ixcoor - 1, (DBL)iycoor - 1, Corner_Colour[3], &Corners_Index[3], premul);
if(image->Interpolation_Type == BILINEAR)
bilinear(Corner_Factors, xcoor, ycoor);
else if(image->Interpolation_Type == NORMALIZED_DIST)
norm_dist(Corner_Factors, xcoor, ycoor);
// We're using double precision for the colors here to avoid higher-than-1.0 results due to rounding errors,
// which would otherwise lead to stray dot artifacts when clamped to [0..1] range for a color_map or similar.
// (Note that strictly speaking we don't avoid such rounding errors, but rather make them small enough that
// subsequent rounding to single precision will take care of them.)
DblColour temp_colour;
DBL temp_index = 0;
for (i = 0; i < 4; i ++)
{
temp_colour += DblColour(Corner_Colour[i]) * Corner_Factors[i];
temp_index += Corners_Index[i] * Corner_Factors[i];
}
colour = Colour(temp_colour);
*index = (int)temp_index;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
// Interpolate color and filter values when mapping
static void cubic(DBL *factors, DBL x)
{
DBL p = x-(int)x;
DBL q = 1-p;
factors[0] = -0.5 * p * q*q;
factors[1] = 0.5 * q * ( q * (3*p + 1) + 1 );
factors[2] = 0.5 * p * ( p * (3*q + 1) + 1 );
factors[3] = -0.5 * q * p*p;
}
static void InterpolateBicubic(const ImageData *image, DBL xcoor, DBL ycoor, Colour& colour, int *index, bool premul)
{
int iycoor, ixcoor;
int cornerIndex;
Colour cornerColour;
DBL factor;
DBL factorsX[4];
DBL factorsY[4];
xcoor += 0.5;
ycoor += 0.5;
iycoor = (int)ycoor;
ixcoor = (int)xcoor;
cubic(factorsX, xcoor);
cubic(factorsY, ycoor);
// We're using double precision for the colors here to avoid higher-than-1.0 results due to rounding errors,
// which would otherwise lead to stray dot artifacts when clamped to [0..1] range for a color_map or similar.
// (Note that strictly speaking we don't avoid such rounding errors, but rather make them small enough that
// subsequent rounding to single precision will take care of them.)
// (Note that bicubic interpolation may still give values outside the range [0..1] at high-contrast edges;
// this is an inherent property of this interpolation method, and is therefore accepted here.)
DblColour tempColour;
DBL tempIndex = 0;
for (int i = 0; i < 4; i ++)
{
for (int j = 0; j < 4; j ++)
{
cornerColour.clear();
no_interpolation(image, (DBL)ixcoor + i-2, (DBL)iycoor + j-2, cornerColour, &cornerIndex, premul);
factor = factorsX[i] * factorsY[j];
tempColour += DblColour(cornerColour) * factor;
tempIndex += cornerIndex * factor;
}
}
colour = Colour(tempColour);
*index = (int)tempIndex;
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
// These interpolation techniques are taken from an article by
// Girish T. Hagan in the C Programmer's Journal V 9 No. 8
// They were adapted for POV-Ray by CdW
static void bilinear(DBL *factors, DBL x, DBL y)
{
DBL p, q;
p = x - (int)x;
q = y - (int)y;
factors[0] = p * q;
factors[1] = (1-p) * q;
factors[2] = p * (1-q);
factors[3] = (1-p) * (1-q);
}
/*****************************************************************************
*
* FUNCTION
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* DESCRIPTION
*
* CHANGES
*
******************************************************************************/
#define PYTHAGOREAN_SQ(a,b) ( (a)*(a) + (b)*(b) )
static void norm_dist(DBL *factors, DBL x, DBL y)
{
int i;
DBL p, q;
DBL wts[4];
DBL sum_inv_wts = 0.0;
DBL sum_I = 0.0;
p = x - (int)x;
q = y - (int)y;
wts[0] = 1.0 / PYTHAGOREAN_SQ(1-p, 1-q);
wts[1] = 1.0 / PYTHAGOREAN_SQ( p, 1-q);
wts[2] = 1.0 / PYTHAGOREAN_SQ(1-p, q);
wts[3] = 1.0 / PYTHAGOREAN_SQ( p, q);
for(i = 0; i < 4; i++)
sum_inv_wts += wts[i];
for(i = 0; i < 4; i++)
factors[i] = (wts[i] / sum_inv_wts);
}
/*****************************************************************************
*
* FUNCTION
*
* Create_Image
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* POV-Ray Team
*
* DESCRIPTION
*
* -
*
* CHANGES
*
* Scott Manley Added repeat vector initialisation
*
******************************************************************************/
ImageData *Create_Image()
{
ImageData *image;
image = (ImageData *) POV_CALLOC(1, sizeof(ImageData), "image file");
image->References = 1;
image->Map_Type = PLANAR_MAP;
image->Interpolation_Type = NO_INTERPOLATION;
image->iwidth = image->iheight = 0;
image->width = image->height = 0.0;
image->Once_Flag = false;
Make_UV_Vector(image->Offset,0.0,0.0);
image->Use = USE_NONE;
Make_Vector(image->Gradient, 1.0, -1.0, 0.0);
image->AllFilter = 0;
image->AllTransmit = 0;
image->Object = NULL;
image->data = NULL;
#ifdef POV_VIDCAP_IMPL
// beta-test feature
image->VidCap = NULL;
#endif
return (image);
}
/*****************************************************************************
*
* FUNCTION
*
* Copy_Image
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* POV-Ray Team
*
* DESCRIPTION
*
* -
*
* CHANGES
*
* -
*
******************************************************************************/
ImageData *Copy_Image(ImageData *Old)
{
if(Old != NULL)
Old->References++;
return (Old);
}
/*****************************************************************************
*
* FUNCTION
*
* Destroy_Image
*
* INPUT
*
* OUTPUT
*
* RETURNS
*
* AUTHOR
*
* POV-Ray Team
*
* DESCRIPTION
*
* -
*
* CHANGES
*
* -
*
******************************************************************************/
void Destroy_Image(ImageData *image)
{
if((image == NULL) || (--(image->References) > 0))
return;
#ifdef POV_VIDCAP_IMPL
// beta-test feature
if(image->VidCap != NULL)
delete image->VidCap;
#endif
delete image->data;
POV_FREE(image);
}
Image *Read_Image(Parser *p, shared_ptr<SceneData>& sd, int filetype, const UCS2 *filename, const Image::ReadOptions& options)
{
unsigned int stype;
Image::ImageFileType type;
UCS2String ign;
switch(filetype)
{
case GIF_FILE:
stype = POV_File_Image_GIF;
type = Image::GIF;
break;
case POT_FILE:
stype = POV_File_Image_GIF;
type = Image::POT;
break;
case SYS_FILE:
stype = POV_File_Image_System;
type = Image::SYS;
break;
case IFF_FILE:
stype = POV_File_Image_IFF;
type = Image::IFF;
break;
case TGA_FILE:
stype = POV_File_Image_Targa;
type = Image::TGA;
break;
case PGM_FILE:
stype = POV_File_Image_PGM;
type = Image::PGM;
break;
case PPM_FILE:
stype = POV_File_Image_PPM;
type = Image::PPM;
break;
case PNG_FILE:
stype = POV_File_Image_PNG;
type = Image::PNG;
break;
case JPEG_FILE:
stype = POV_File_Image_JPEG;
type = Image::JPEG;
break;
case TIFF_FILE:
stype = POV_File_Image_TIFF;
type = Image::TIFF;
break;
case BMP_FILE:
stype = POV_File_Image_BMP;
type = Image::BMP;
break;
case EXR_FILE:
stype = POV_File_Image_EXR;
type = Image::EXR;
break;
case HDR_FILE:
stype = POV_File_Image_HDR;
type = Image::HDR;
break;
default:
throw POV_EXCEPTION(kDataTypeErr, "Unknown file type.");
}
boost::scoped_ptr<IStream> file(Locate_File(p, sd, filename, stype, ign, true));
if(file == NULL)
throw POV_EXCEPTION(kCannotOpenFileErr, "Cannot find image file.");
return Image::Read(type, file.get(), options);
}
}
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