/*
===========================================================================

Doom 3 BFG Edition GPL Source Code
Copyright (C) 1993-2012 id Software LLC, a ZeniMax Media company.

This file is part of the Doom 3 BFG Edition GPL Source Code ("Doom 3 BFG Edition Source Code").

Doom 3 BFG Edition Source Code is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

Doom 3 BFG Edition Source Code 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 General Public License for more details.

You should have received a copy of the GNU General Public License
along with Doom 3 BFG Edition Source Code.  If not, see <http://www.gnu.org/licenses/>.

In addition, the Doom 3 BFG Edition Source Code is also subject to certain additional terms. You should have received a copy of these additional terms immediately following the terms and conditions of the GNU General Public License which accompanied the Doom 3 BFG Edition Source Code.  If not, please request a copy in writing from id Software at the address below.

If you have questions concerning this license or the applicable additional terms, you may contact in writing id Software LLC, c/o ZeniMax Media Inc., Suite 120, Rockville, Maryland 20850 USA.

===========================================================================
*/
#pragma hdrstop
#include "precompiled.h"


#include "tr_local.h"

/*
================
R_ResampleTexture

Used to resample images in a more general than quartering fashion.

This will only have filter coverage if the resampled size
is greater than half the original size.

If a larger shrinking is needed, use the mipmap function
after resampling to the next lower power of two.
================
*/
#define	MAX_DIMENSION	4096
byte* R_ResampleTexture( const byte* in, int inwidth, int inheight,
						 int outwidth, int outheight )
{
	int		i, j;
	const byte*	inrow, *inrow2;
	unsigned int	frac, fracstep;
	unsigned int	p1[MAX_DIMENSION], p2[MAX_DIMENSION];
	const byte*		pix1, *pix2, *pix3, *pix4;
	byte*		out, *out_p;
	
	if( outwidth > MAX_DIMENSION )
	{
		outwidth = MAX_DIMENSION;
	}
	if( outheight > MAX_DIMENSION )
	{
		outheight = MAX_DIMENSION;
	}
	
	out = ( byte* )R_StaticAlloc( outwidth * outheight * 4, TAG_IMAGE );
	out_p = out;
	
	fracstep = inwidth * 0x10000 / outwidth;
	
	frac = fracstep >> 2;
	for( i = 0 ; i < outwidth ; i++ )
	{
		p1[i] = 4 * ( frac >> 16 );
		frac += fracstep;
	}
	frac = 3 * ( fracstep >> 2 );
	for( i = 0 ; i < outwidth ; i++ )
	{
		p2[i] = 4 * ( frac >> 16 );
		frac += fracstep;
	}
	
	for( i = 0 ; i < outheight ; i++, out_p += outwidth * 4 )
	{
		inrow = in + 4 * inwidth * ( int )( ( i + 0.25f ) * inheight / outheight );
		inrow2 = in + 4 * inwidth * ( int )( ( i + 0.75f ) * inheight / outheight );
		frac = fracstep >> 1;
		for( j = 0 ; j < outwidth ; j++ )
		{
			pix1 = inrow + p1[j];
			pix2 = inrow + p2[j];
			pix3 = inrow2 + p1[j];
			pix4 = inrow2 + p2[j];
			out_p[j * 4 + 0] = ( pix1[0] + pix2[0] + pix3[0] + pix4[0] ) >> 2;
			out_p[j * 4 + 1] = ( pix1[1] + pix2[1] + pix3[1] + pix4[1] ) >> 2;
			out_p[j * 4 + 2] = ( pix1[2] + pix2[2] + pix3[2] + pix4[2] ) >> 2;
			out_p[j * 4 + 3] = ( pix1[3] + pix2[3] + pix3[3] + pix4[3] ) >> 2;
		}
	}
	
	return out;
}

/*
================
R_Dropsample

Used to resample images in a more general than quartering fashion.
Normal maps and such should not be bilerped.
================
*/
byte* R_Dropsample( const byte* in, int inwidth, int inheight,
					int outwidth, int outheight )
{
	int		i, j, k;
	const byte*	inrow;
	const byte*	pix1;
	byte*		out, *out_p;
	
	out = ( byte* )R_StaticAlloc( outwidth * outheight * 4, TAG_IMAGE );
	out_p = out;
	
	for( i = 0 ; i < outheight ; i++, out_p += outwidth * 4 )
	{
		inrow = in + 4 * inwidth * ( int )( ( i + 0.25 ) * inheight / outheight );
		for( j = 0 ; j < outwidth ; j++ )
		{
			k = j * inwidth / outwidth;
			pix1 = inrow + k * 4;
			out_p[j * 4 + 0] = pix1[0];
			out_p[j * 4 + 1] = pix1[1];
			out_p[j * 4 + 2] = pix1[2];
			out_p[j * 4 + 3] = pix1[3];
		}
	}
	
	return out;
}

/*
================
R_SetAlphaNormalDivergence

If any of the angles inside the cone would directly reflect to the light, there will be
a specular highlight.  The intensity of the highlight is inversely proportional to the
area of the spread.

Light source area is important for the base size.

area subtended in light is the divergence times the distance

Shininess value is subtracted from the divergence

Sets the alpha channel to the greatest divergence dot product of the surrounding texels.
1.0 = flat, 0.0 = turns a 90 degree angle
Lower values give less shiny specular
With mip maps, the lowest samnpled value will be retained

Should we rewrite the normal as the centered average?
================
*/
void	R_SetAlphaNormalDivergence( byte* in, int width, int height )
{
	for( int y = 0 ; y < height ; y++ )
	{
		for( int x = 0 ; x < width ; x++ )
		{
			// the divergence is the smallest dot product of any of the eight surrounding texels
			byte*	pic_p = in + ( y * width + x ) * 4;
			idVec3	center;
			center[0] = ( pic_p[0] - 128 ) / 127;
			center[1] = ( pic_p[1] - 128 ) / 127;
			center[2] = ( pic_p[2] - 128 ) / 127;
			center.Normalize();
			
			float	maxDiverge = 1.0;
			
			// FIXME: this assumes wrap mode, but should handle clamp modes and border colors
			for( int yy = -1 ; yy <= 1 ; yy++ )
			{
				for( int xx = -1 ; xx <= 1 ; xx++ )
				{
					if( yy == 0 && xx == 0 )
					{
						continue;
					}
					byte*	corner_p = in + ( ( ( y + yy ) & ( height - 1 ) ) * width + ( ( x + xx )&width - 1 ) ) * 4;
					idVec3	corner;
					corner[0] = ( corner_p[0] - 128 ) / 127;
					corner[1] = ( corner_p[1] - 128 ) / 127;
					corner[2] = ( corner_p[2] - 128 ) / 127;
					corner.Normalize();
					
					float	diverge = corner * center;
					if( diverge < maxDiverge )
					{
						maxDiverge = diverge;
					}
				}
			}
			
			// we can get a diverge < 0 in some extreme cases
			if( maxDiverge < 0 )
			{
				maxDiverge = 0;
			}
			pic_p[3] = maxDiverge * 255;
		}
	}
}

/*
================
R_MipMapWithAlphaSpecularity

Returns a new copy of the texture, quartered in size and filtered.
The alpha channel is taken to be the minimum of the dots of all surrounding normals.
================
*/
#define MIP_MIN(a,b) (a<b?a:b)

byte* R_MipMapWithAlphaSpecularity( const byte* in, int width, int height )
{
	int		i, j, c, x, y, sx, sy;
	const byte*	in_p;
	byte*	out, *out_p;
	int		row;
	int		newWidth, newHeight;
	float*	fbuf, *fbuf_p;
	
	if( width < 1 || height < 1 || ( width + height == 2 ) )
	{
		common->FatalError( "R_MipMapWithAlphaMin called with size %i,%i", width, height );
	}
	
	// convert the incoming texture to centered floating point
	c = width * height;
	fbuf = ( float* )_alloca( c * 4 * sizeof( *fbuf ) );
	in_p = in;
	fbuf_p = fbuf;
	for( i = 0 ; i < c ; i++, in_p += 4, fbuf_p += 4 )
	{
		fbuf_p[0] = ( in_p[0] / 255.0 ) * 2.0 - 1.0;	// convert to a normal
		fbuf_p[1] = ( in_p[1] / 255.0 ) * 2.0 - 1.0;
		fbuf_p[2] = ( in_p[2] / 255.0 ) * 2.0 - 1.0;
		fbuf_p[3] = ( in_p[3] / 255.0 );				// filtered divegence / specularity
	}
	
	row = width * 4;
	
	newWidth = width >> 1;
	newHeight = height >> 1;
	if( !newWidth )
	{
		newWidth = 1;
	}
	if( !newHeight )
	{
		newHeight = 1;
	}
	out = ( byte* )R_StaticAlloc( newWidth * newHeight * 4, TAG_IMAGE );
	out_p = out;
	
	in_p = in;
	
	for( i = 0 ; i < newHeight ; i++ )
	{
		for( j = 0 ; j < newWidth ; j++, out_p += 4 )
		{
			idVec3	total;
			float	totalSpec;
			
			total.Zero();
			totalSpec = 0;
			// find the average normal
			for( x = -1 ; x <= 1 ; x++ )
			{
				sx = ( j * 2 + x ) & ( width - 1 );
				for( y = -1 ; y <= 1 ; y++ )
				{
					sy = ( i * 2 + y ) & ( height - 1 );
					fbuf_p = fbuf + ( sy * width + sx ) * 4;
					
					total[0] += fbuf_p[0];
					total[1] += fbuf_p[1];
					total[2] += fbuf_p[2];
					
					totalSpec += fbuf_p[3];
				}
			}
			total.Normalize();
			totalSpec /= 9.0;
			
			// find the maximum divergence
			for( x = -1 ; x <= 1 ; x++ )
			{
				for( y = -1 ; y <= 1 ; y++ )
				{
				}
			}
			
			// store the average normal and divergence
		}
	}
	
	return out;
}

float mip_gammaTable[256] =
{
	0.000000f, 0.000005f, 0.000023f, 0.000057f, 0.000107f, 0.000175f, 0.000262f, 0.000367f, 0.000493f, 0.000638f, 0.000805f, 0.000992f, 0.001202f, 0.001433f, 0.001687f, 0.001963f,
	0.002263f, 0.002586f, 0.002932f, 0.003303f, 0.003697f, 0.004116f, 0.004560f, 0.005028f, 0.005522f, 0.006041f, 0.006585f, 0.007155f, 0.007751f, 0.008373f, 0.009021f, 0.009696f,
	0.010398f, 0.011126f, 0.011881f, 0.012664f, 0.013473f, 0.014311f, 0.015175f, 0.016068f, 0.016988f, 0.017936f, 0.018913f, 0.019918f, 0.020951f, 0.022013f, 0.023104f, 0.024223f,
	0.025371f, 0.026549f, 0.027755f, 0.028991f, 0.030257f, 0.031551f, 0.032876f, 0.034230f, 0.035614f, 0.037029f, 0.038473f, 0.039947f, 0.041452f, 0.042987f, 0.044553f, 0.046149f,
	0.047776f, 0.049433f, 0.051122f, 0.052842f, 0.054592f, 0.056374f, 0.058187f, 0.060032f, 0.061907f, 0.063815f, 0.065754f, 0.067725f, 0.069727f, 0.071761f, 0.073828f, 0.075926f,
	0.078057f, 0.080219f, 0.082414f, 0.084642f, 0.086901f, 0.089194f, 0.091518f, 0.093876f, 0.096266f, 0.098689f, 0.101145f, 0.103634f, 0.106156f, 0.108711f, 0.111299f, 0.113921f,
	0.116576f, 0.119264f, 0.121986f, 0.124741f, 0.127530f, 0.130352f, 0.133209f, 0.136099f, 0.139022f, 0.141980f, 0.144972f, 0.147998f, 0.151058f, 0.154152f, 0.157281f, 0.160444f,
	0.163641f, 0.166872f, 0.170138f, 0.173439f, 0.176774f, 0.180144f, 0.183549f, 0.186989f, 0.190463f, 0.193972f, 0.197516f, 0.201096f, 0.204710f, 0.208360f, 0.212044f, 0.215764f,
	0.219520f, 0.223310f, 0.227137f, 0.230998f, 0.234895f, 0.238828f, 0.242796f, 0.246800f, 0.250840f, 0.254916f, 0.259027f, 0.263175f, 0.267358f, 0.271577f, 0.275833f, 0.280124f,
	0.284452f, 0.288816f, 0.293216f, 0.297653f, 0.302126f, 0.306635f, 0.311181f, 0.315763f, 0.320382f, 0.325037f, 0.329729f, 0.334458f, 0.339223f, 0.344026f, 0.348865f, 0.353741f,
	0.358654f, 0.363604f, 0.368591f, 0.373615f, 0.378676f, 0.383775f, 0.388910f, 0.394083f, 0.399293f, 0.404541f, 0.409826f, 0.415148f, 0.420508f, 0.425905f, 0.431340f, 0.436813f,
	0.442323f, 0.447871f, 0.453456f, 0.459080f, 0.464741f, 0.470440f, 0.476177f, 0.481952f, 0.487765f, 0.493616f, 0.499505f, 0.505432f, 0.511398f, 0.517401f, 0.523443f, 0.529523f,
	0.535642f, 0.541798f, 0.547994f, 0.554227f, 0.560499f, 0.566810f, 0.573159f, 0.579547f, 0.585973f, 0.592438f, 0.598942f, 0.605484f, 0.612066f, 0.618686f, 0.625345f, 0.632043f,
	0.638779f, 0.645555f, 0.652370f, 0.659224f, 0.666117f, 0.673049f, 0.680020f, 0.687031f, 0.694081f, 0.701169f, 0.708298f, 0.715465f, 0.722672f, 0.729919f, 0.737205f, 0.744530f,
	0.751895f, 0.759300f, 0.766744f, 0.774227f, 0.781751f, 0.789314f, 0.796917f, 0.804559f, 0.812241f, 0.819964f, 0.827726f, 0.835528f, 0.843370f, 0.851252f, 0.859174f, 0.867136f,
	0.875138f, 0.883180f, 0.891262f, 0.899384f, 0.907547f, 0.915750f, 0.923993f, 0.932277f, 0.940601f, 0.948965f, 0.957370f, 0.965815f, 0.974300f, 0.982826f, 0.991393f, 1.000000f
};

/*
================
R_MipMapGamma

Returns a new copy of the texture, quartered in size with gamma correction.
================
*/
byte* R_MipMapWithGamma( const byte* in, int width, int height )
{
	int		i, j;
	const byte*	in_p;
	byte*	out, *out_p;
	int		row;
	int		newWidth, newHeight;
	
	if( width < 1 || height < 1 || ( width + height == 2 ) )
	{
		return NULL;
	}
	
	row = width * 4;
	
	newWidth = width >> 1;
	newHeight = height >> 1;
	if( !newWidth )
	{
		newWidth = 1;
	}
	if( !newHeight )
	{
		newHeight = 1;
	}
	out = ( byte* )R_StaticAlloc( newWidth * newHeight * 4, TAG_IMAGE );
	out_p = out;
	
	in_p = in;
	
	width >>= 1;
	height >>= 1;
	
	if( width == 0 || height == 0 )
	{
		width += height;	// get largest
		for( i = 0 ; i < width ; i++, out_p += 4, in_p += 8 )
		{
			out_p[0] = idMath::Ftob( 255.0f * idMath::Pow( 0.5f * ( mip_gammaTable[in_p[0]] + mip_gammaTable[in_p[4]] ), 1.0f / 2.2f ) );
			out_p[1] = idMath::Ftob( 255.0f * idMath::Pow( 0.5f * ( mip_gammaTable[in_p[1]] + mip_gammaTable[in_p[5]] ), 1.0f / 2.2f ) );
			out_p[2] = idMath::Ftob( 255.0f * idMath::Pow( 0.5f * ( mip_gammaTable[in_p[2]] + mip_gammaTable[in_p[6]] ), 1.0f / 2.2f ) );
			out_p[3] = idMath::Ftob( 255.0f * idMath::Pow( 0.5f * ( mip_gammaTable[in_p[3]] + mip_gammaTable[in_p[7]] ), 1.0f / 2.2f ) );
		}
		return out;
	}
	for( i = 0 ; i < height ; i++, in_p += row )
	{
		for( j = 0 ; j < width ; j++, out_p += 4, in_p += 8 )
		{
			out_p[0] = idMath::Ftob( 255.0f * idMath::Pow( 0.25f * ( mip_gammaTable[in_p[0]] + mip_gammaTable[in_p[4]] + mip_gammaTable[in_p[row + 0]] + mip_gammaTable[in_p[row + 4]] ), 1.0f / 2.2f ) );
			out_p[1] = idMath::Ftob( 255.0f * idMath::Pow( 0.25f * ( mip_gammaTable[in_p[1]] + mip_gammaTable[in_p[5]] + mip_gammaTable[in_p[row + 1]] + mip_gammaTable[in_p[row + 5]] ), 1.0f / 2.2f ) );
			out_p[2] = idMath::Ftob( 255.0f * idMath::Pow( 0.25f * ( mip_gammaTable[in_p[2]] + mip_gammaTable[in_p[6]] + mip_gammaTable[in_p[row + 2]] + mip_gammaTable[in_p[row + 6]] ), 1.0f / 2.2f ) );
			out_p[3] = idMath::Ftob( 255.0f * idMath::Pow( 0.25f * ( mip_gammaTable[in_p[3]] + mip_gammaTable[in_p[7]] + mip_gammaTable[in_p[row + 3]] + mip_gammaTable[in_p[row + 7]] ), 1.0f / 2.2f ) );
		}
	}
	
	return out;
}

/*
================
R_MipMap

Returns a new copy of the texture, quartered in size and filtered.
================
*/
byte* R_MipMap( const byte* in, int width, int height )
{
	int		i, j;
	const byte*	in_p;
	byte*	out, *out_p;
	int		row;
	int		newWidth, newHeight;
	
	if( width < 1 || height < 1 || ( width + height == 2 ) )
	{
		return NULL;
	}
	
	row = width * 4;
	
	newWidth = width >> 1;
	newHeight = height >> 1;
	if( !newWidth )
	{
		newWidth = 1;
	}
	if( !newHeight )
	{
		newHeight = 1;
	}
	out = ( byte* )R_StaticAlloc( newWidth * newHeight * 4, TAG_IMAGE );
	out_p = out;
	
	in_p = in;
	
	width >>= 1;
	height >>= 1;
	
	if( width == 0 || height == 0 )
	{
		width += height;	// get largest
		for( i = 0 ; i < width ; i++, out_p += 4, in_p += 8 )
		{
			out_p[0] = ( in_p[0] + in_p[4] ) >> 1;
			out_p[1] = ( in_p[1] + in_p[5] ) >> 1;
			out_p[2] = ( in_p[2] + in_p[6] ) >> 1;
			out_p[3] = ( in_p[3] + in_p[7] ) >> 1;
		}
		return out;
	}
	
	for( i = 0 ; i < height ; i++, in_p += row )
	{
		for( j = 0 ; j < width ; j++, out_p += 4, in_p += 8 )
		{
			out_p[0] = ( in_p[0] + in_p[4] + in_p[row + 0] + in_p[row + 4] ) >> 2;
			out_p[1] = ( in_p[1] + in_p[5] + in_p[row + 1] + in_p[row + 5] ) >> 2;
			out_p[2] = ( in_p[2] + in_p[6] + in_p[row + 2] + in_p[row + 6] ) >> 2;
			out_p[3] = ( in_p[3] + in_p[7] + in_p[row + 3] + in_p[row + 7] ) >> 2;
		}
	}
	
	return out;
}

/*
==================
R_BlendOverTexture

Apply a color blend over a set of pixels
==================
*/
void R_BlendOverTexture( byte* data, int pixelCount, const byte blend[4] )
{
	int		i;
	int		inverseAlpha;
	int		premult[3];
	
	inverseAlpha = 255 - blend[3];
	premult[0] = blend[0] * blend[3];
	premult[1] = blend[1] * blend[3];
	premult[2] = blend[2] * blend[3];
	
	for( i = 0 ; i < pixelCount ; i++, data += 4 )
	{
		data[0] = ( data[0] * inverseAlpha + premult[0] ) >> 9;
		data[1] = ( data[1] * inverseAlpha + premult[1] ) >> 9;
		data[2] = ( data[2] * inverseAlpha + premult[2] ) >> 9;
	}
}


/*
==================
R_HorizontalFlip

Flip the image in place
==================
*/
void R_HorizontalFlip( byte* data, int width, int height )
{
	int		i, j;
	int		temp;
	
	for( i = 0 ; i < height ; i++ )
	{
		for( j = 0 ; j < width / 2 ; j++ )
		{
			temp = *( ( int* )data + i * width + j );
			*( ( int* )data + i * width + j ) = *( ( int* )data + i * width + width - 1 - j );
			*( ( int* )data + i * width + width - 1 - j ) = temp;
		}
	}
}

void R_VerticalFlip( byte* data, int width, int height )
{
	int		i, j;
	int		temp;
	
	for( i = 0 ; i < width ; i++ )
	{
		for( j = 0 ; j < height / 2 ; j++ )
		{
			temp = *( ( int* )data + j * width + i );
			*( ( int* )data + j * width + i ) = *( ( int* )data + ( height - 1 - j ) * width + i );
			*( ( int* )data + ( height - 1 - j ) * width + i ) = temp;
		}
	}
}

void R_RotatePic( byte* data, int width )
{
	int		i, j;
	int*		temp;
	
	temp = ( int* )R_StaticAlloc( width * width * 4, TAG_IMAGE );
	
	for( i = 0 ; i < width ; i++ )
	{
		for( j = 0 ; j < width ; j++ )
		{
			*( temp + i * width + j ) = *( ( int* )data + j * width + i );
		}
	}
	
	memcpy( data, temp, width * width * 4 );
	
	R_StaticFree( temp );
}