blob: 80c6b25fe5281622323e061ae5aeac17130988a7 [file] [log] [blame]
#include <freetype/internal/ftobjs.h>
#include <freetype/internal/ftdebug.h>
#include <freetype/internal/ftmemory.h>
#include <freetype/fttrigon.h>
#include "ftsdf.h"
#include "ftsdferrs.h"
#include "ftsdfcommon.h"
/**************************************************************************
*
* A brief technical overview of how the BSDF rasterizer works.
* ------------------------------------------------------------
*
* [Notes]:
* * SDF stands for Signed Distance Field everywhere.
*
* * BSDF stands for Bitmap to Signed Distance Field rasterizer.
*
* * This renderer convert rasterized bitmaps to SDF. There is another
* renderer `sdf' which generate SDF directly from outlines, see
* `ftsdf.c' for more details on the `sdf' rasterizer.
*
* * The idea of generating SDF from bitmaps is taken from two research
* papers, where one is dependent on the other:
*
* - First paper:
* Euclidean Distance Mapping, PER-ERIK DANIELSSON.
* Link: http://webstaff.itn.liu.se/~stegu/JFA/Danielsson.pdf
* From this paper we use the he eight-point sequential Euclidean
* distance mapping (8SED). This is the heart of the process used
* in this rasterizer.
* The 8SED algorithm is the basic algorithm which generate SDF
* (distance map) from binary bitmaps.
*
* - Second paper:
* Anti-aliased Euclidean distance transform. Stefan Gustavson,
* Robin Strand.
* Link: http://weber.itn.liu.se/~stegu/aadist/edtaa_preprint.pdf
* The 8SED discards the pixel's alpha values which can contain
* information about the actual outline of the glyph. So, this
* paper takes advantage of those alpha values and approximate
* outline pretty accurately.
*
* * The two algorithms together generate pretty accurate SDF from only
* bitmaps.
*
* * This rasterizer will work for monochrome bitmaps but the result will
* not be as accurate since we don't have any way to approximate outli-
* nes from binary bitmaps.
*
* ========================================================================
*
* Generating SDF from bitmap is done in several steps:
*
* 1 - First, the only information we have is the bitmap itself. It can
* be monochrome or anti-aliased. If it is anti-aliased the pixel
* values are nothing but the coverage values. There coverage values
* can be used to extract information about the outline of the image.
* For example: If the pixel's alpha value is 0.5, then we can safely
* assume that the outline pass through the center of the pixel.
*
* 2 - Now we find the edge pixels in the bitmap (see `bsdf_is_edge' for
* more details about how we find edge pixels). For all edge pixels
* we use the Anti-aliased Euclidean distance transform algorithm and
* compute approximate edge distances (see `compute_edge_distance'
* and/or the second paper about how we compute approximate edge
* distances).
*
* 3 - Now that we have computed approximate distance for edge pixels we
* use the 8SED algorithm to basically sweep the entire bitmap and
* compute distances for the rest of the pixels. (Since the algorithm
* is pretty large it is only explained briefly in the file, the
* function for which is `edt8'. To see the actual algorithm refer
* to the first paper).
*
* 4 - And finally we compute the sign for each pixel. This is done in
* the `finalize_sdf' function. The basic idea is that if the pixel's
* original alpha/coverage value is greater than 0.5 then it is
* 'inside' otherwise it is 'outside'.
*
* 5 - This concludes the algorithm.
*
* Pseudo Code:
*
* b = source bitmap;
* t = target bitmap;
* dm = list of distances; // dimension equal to b
*
* foreach grid_point (x, y) in b:
* if ( is_edge(x, y) ):
* dm = approximate_edge_distance(b, x, y);
*
* // do the 8SED on the distances
* edt8(dm);
*
* // determine the signs
* determine_signs(dm):
*
* // copy SDF data to the target bitmap
* copy(dm to t);
*
*/
/**************************************************************************
*
* useful macros
*
*/
#define ONE 65536 /* 1 in 16.16 */
/**************************************************************************
*
* structs
*
*/
/**************************************************************************
*
* @Struct:
* BSDF_TRaster
*
* @Description:
* This struct is used in place of `FT_Raster' and is stored within
* the internal freetype renderer struct. While rasterizing this is
* passed to the `FT_Raster_Render_Func' function, which then can be
* used however we want.
*
* @Fields:
* memory ::
* Used internally to allocate intermediate memory while raterizing.
*
*/
typedef struct BSDF_TRaster_
{
FT_Memory memory;
} BSDF_TRaster;
/**************************************************************************
*
* @Struct:
* ED
*
* @Description:
* Euclidean distance used for euclidean distance transform can also be
* interpreted as edge distance.
*
* @Fields:
* dist ::
* Vector length of the `near' parameter. Can be squared or absolute
* depending on the `USE_SQUARED_DISTANCES' parameter defined in
* `ftsdfcommon.h'.
*
* near ::
* Vector to the nearest edge. Can also be interpreted as shortest
* distance of a point.
*
* alpha ::
* Alpha value of the original bitmap from which we generate SDF.
* While computing the gradient and determining the proper sign
* of a pixel this field is used.
*
*/
typedef struct ED_
{
FT_16D16 dist;
FT_16D16_Vec near;
FT_Byte alpha;
} ED;
/**************************************************************************
*
* @Struct:
* BSDF_Worker
*
* @Description:
* Just a convenient struct which is passed to most of the functions
* while generating SDF. This makes it easier to pass parameters because
* most functions require the same parameters.
*
* @Fields:
* distance_map ::
* A 1D array which is interpreted as 2D array. This array contains
* the Euclidean distance of all the points of the bitmap.
*
* width ::
* Width of the above `distance_map'.
*
* rows ::
* Number of rows in the above `distance_map'.
*
* params ::
* Internal params and properties required by the rasterizer. See
* `ftsdf.h' for the fields of this struct.
*
*/
typedef struct BSDF_Worker_
{
ED* distance_map;
FT_Int width;
FT_Int rows;
SDF_Raster_Params params;
} BSDF_Worker;
/**************************************************************************
*
* initializer
*
*/
static
const ED zero_ed = { 0, { 0, 0 }, 0 };
/**************************************************************************
*
* rasterizer functions
*
*/
#ifdef CHECK_NEIGHBOR
#undef CHECK_NEIGHBOR
#endif
/* Use the macro only in `bsdf_is_edge' function. */
#define CHECK_NEIGHBOR( x_offset, y_offset ) \
if ( x + x_offset >= 0 && x + x_offset < w && \
y + y_offset >= 0 && y + y_offset < r ) \
{ \
num_neighbour++; \
to_check = dm + y_offset * w + x_offset; \
if ( to_check->alpha == 0 ) \
{ \
is_edge = 1; \
goto Done; \
} \
}
/**************************************************************************
*
* @Function:
* bsdf_is_edge
*
* @Description:
* This function checks weather a pixel is an edge pixel. A pixel
* is edge bixel if it surrounded by a completely black pixel ( 0
* alpha ) and the current pixel is not a completely black pixel.
*
* @Input:
* dm ::
* Array of distances. The parameter must point to the current
* pixel i.e. the pixel that is to be checked for edge.
*
* x ::
* The x position of the current pixel.
*
* y ::
* The y position of the current pixel.
*
* w ::
* Width of the bitmap.
*
* r ::
* Number of rows in the bitmap.
*
* @Return:
* FT_Bool ::
* 1 if the current pixel is an edge pixel, 0 otherwise.
*
*/
static FT_Bool
bsdf_is_edge( ED* dm, /* distance map */
FT_Int x, /* x index of point to check */
FT_Int y, /* y index of point to check */
FT_Int w, /* width */
FT_Int r ) /* rows */
{
FT_Bool is_edge = 0;
ED* to_check = NULL;
FT_Int num_neighbour = 0;
if ( dm->alpha == 0 )
goto Done;
if ( dm->alpha > 0 && dm->alpha < 255 )
{
is_edge = 1;
goto Done;
}
/* up */
CHECK_NEIGHBOR( 0, -1 );
/* down */
CHECK_NEIGHBOR( 0, 1 );
/* left */
CHECK_NEIGHBOR( -1, 0 );
/* right */
CHECK_NEIGHBOR( 1, 0 );
/* up left */
CHECK_NEIGHBOR( -1, -1 );
/* up right */
CHECK_NEIGHBOR( 1, -1 );
/* down left */
CHECK_NEIGHBOR( -1, 1 );
/* down right */
CHECK_NEIGHBOR( 1, 1 );
if ( num_neighbour != 8 )
is_edge = 1;
Done:
return is_edge;
}
#undef CHECK_NEIGHBOR
/**************************************************************************
*
* @Function:
* compute_edge_distance
*
* @Description:
* Approximate the outline and compute the distance from `current'
* to the approximated outline.
*
* @Input:
* current ::
* Array of distances. This parameter is an array of Euclidean
* distances. The `current' must point to the position for which
* the distance is to be caculated. We treat this array as a 2D
* array mapped to a 1D array.
*
* x ::
* The x coordinate of the `current' parameter in the array.
*
* y ::
* The y coordinate of the `current' parameter in the array.
*
* w ::
* The width of the distances array.
*
* r ::
* Number of rows in the distances array.
*
* @Return:
* FT_16D16_Vec ::
* A vector pointing to the approximate edge distance.
*
* @Note:
* This is a computationally expensive function. Try to reduce the
* number of calls to this function. Moreover this must only be used
* for edge pixel positions.
*
*/
static FT_16D16_Vec
compute_edge_distance( ED* current,
FT_Int x,
FT_Int y,
FT_Int w,
FT_Int r )
{
/* This is the function which is based on the paper presented */
/* by Stefan Gustavson and Robin Strand which is used to app- */
/* roximate edge distance from anti-aliased bitmaps. */
/* */
/* The algorithm is as follows: */
/* */
/* * In anti-aliased images, the pixel's alpha value is the */
/* coverage of the pixel by the outline. For example if the */
/* alpha value is 0.5f then we can assume the the outline */
/* passes through the center of the pixel. */
/* */
/* * So, we can use that alpha value to approximate the real */
/* distance of the pixel to edge pretty accurately. A real */
/* simple approximation is ( 0.5f - alpha ), assuming that */
/* the outline is parallel to the x or y axis. But in this */
/* algorithm we use a different approximation which is qui- */
/* te accurate even for non axis aligned edges. */
/* */
/* * The only remaining piece of information that we cannot */
/* approximate directly from the alpha is the direction of */
/* the edge. This is where we use the Sobel's operator to */
/* compute the gradient of the pixel. The gradient give us */
/* a pretty good approximation of the edge direction. */
/* We use a 3x3 kernel filter to compute the gradient. */
/* */
/* * After the above two steps we have both the direction and */
/* the distance to the edge which is used to generate the */
/* Signed Distance Field. */
/* */
/* References: */
/* * Anti-Aliased Euclidean Distance Transform: */
/* http://weber.itn.liu.se/~stegu/aadist/edtaa_preprint.pdf */
/* * Sobel Operator: */
/* https://en.wikipedia.org/wiki/Sobel_operator */
/* */
FT_16D16_Vec g = { 0, 0 };
FT_16D16 dist, current_alpha;
FT_16D16 a1, temp;
FT_16D16 gx, gy;
FT_16D16 alphas[9];
/* Since our spread cannot be 0, this condition */
/* can never be true. */
if ( x <= 0 || x >= w - 1 ||
y <= 0 || y >= r - 1 )
return g;
/* initialize the alphas */
alphas[0] = 256 * (FT_16D16)current[-w - 1].alpha;
alphas[1] = 256 * (FT_16D16)current[ -w ].alpha;
alphas[2] = 256 * (FT_16D16)current[-w + 1].alpha;
alphas[3] = 256 * (FT_16D16)current[ -1 ].alpha;
alphas[4] = 256 * (FT_16D16)current[ 0 ].alpha;
alphas[5] = 256 * (FT_16D16)current[ 1 ].alpha;
alphas[6] = 256 * (FT_16D16)current[ w - 1].alpha;
alphas[7] = 256 * (FT_16D16)current[ w ].alpha;
alphas[8] = 256 * (FT_16D16)current[ w + 1].alpha;
current_alpha = alphas[4];
/* Compute the gradient using the Sobel operator. */
/* In this case we use the following 3x3 filters: */
/* */
/* For x: | -1 0 -1 | */
/* | -root(2) 0 root(2) | */
/* | -1 0 1 | */
/* */
/* For y: | -1 -root(2) -1 | */
/* | 0 0 0 | */
/* | 1 root(2) 1 | */
/* */
/* [Note]: 92681 is nothing but root(2) in 16.16 */
g.x = -alphas[0] -
FT_MulFix( alphas[3], 92681 ) -
alphas[6] +
alphas[2] +
FT_MulFix( alphas[5], 92681 ) +
alphas[8];
g.y = -alphas[0] -
FT_MulFix( alphas[1], 92681 ) -
alphas[2] +
alphas[6] +
FT_MulFix( alphas[7], 92681 ) +
alphas[8];
FT_Vector_NormLen( &g );
/* The gradient gives us the direction of the */
/* edge for the current pixel. Once we have the */
/* approximate direction of the edge, we can */
/* approximate the edge distance much better. */
if ( g.x == 0 || g.y == 0 )
dist = ONE / 2 - alphas[4];
else
{
gx = g.x;
gy = g.y;
gx = FT_ABS( gx );
gy = FT_ABS( gy );
if ( gx < gy )
{
temp = gx;
gx = gy;
gy = temp;
}
a1 = FT_DivFix( gy, gx ) / 2;
if ( current_alpha < a1 )
dist = (( gx + gy ) / 2) -
square_root( 2 * FT_MulFix( gx,
FT_MulFix( gy, current_alpha ) ) );
else if ( current_alpha < ( ONE - a1 ) )
dist = FT_MulFix( ONE / 2 - current_alpha, gx );
else
dist = -(( gx + gy ) / 2) +
square_root( 2 * FT_MulFix( gx,
FT_MulFix( gy, ONE - current_alpha ) ) );
}
g.x = FT_MulFix( g.x, dist );
g.y = FT_MulFix( g.y, dist );
return g;
}
/**************************************************************************
*
* @Function:
* bsdf_approximate_edge
*
* @Description:
* This is a handy function which loops through all the pixels, and
* calls `compute_edge_distance' function only for edge pixels. This
* maked the process a lot faster since `compute_edge_distance' uses
* some functions such as `FT_Vector_NormLen' which are quite slow.
*
* @Input:
* worker ::
* Contains the distance map as well as all the relevant parameters
* required by the function.
*
* @Return:
* FT_Error ::
* FreeType error, 0 means success.
*
* @Note:
* The function dosen't have any actual output, it do computation on
* the `distance_map' parameter of the `worker' and put the data in
* that distance map itself.
*
*/
static FT_Error
bsdf_approximate_edge( BSDF_Worker* worker )
{
FT_Error error = FT_Err_Ok;
FT_Int i, j;
FT_Int index;
ED* ed;
if ( !worker || !worker->distance_map )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
ed = worker->distance_map;
for ( j = 0; j < worker->rows; j++ )
{
for ( i = 0; i < worker->width; i++ )
{
index = j * worker->width + i;
if ( bsdf_is_edge( worker->distance_map + index,
i, j, worker->width, worker->rows ) )
{
/* for edge pixels approximate the edge distance */
ed[index].near = compute_edge_distance( ed + index, i, j,
worker->width, worker->rows );
ed[index].dist = VECTOR_LENGTH_16D16( ed[index].near );
}
else
{
/* for non edge pixels assign far away distances */
ed[index].dist = 400 * ONE;
ed[index].near.x = 200 * ONE;
ed[index].near.y = 200 * ONE;
}
}
}
Exit:
return error;
}
/**************************************************************************
*
* @Function:
* bsdf_init_distance_map
*
* @Description:
* This function initialize the distance map according to
* algorithm `8-point sequential Euclidean distance mapping' (8SED).
* Basically it copy the `source' bitmap alpha values to the
* `distance_map->alpha' parameter of the `worker'.
*
* @Input:
* source ::
* Source bitmap to copy the data from.
*
* @Return:
* worker ::
* Target distance map to copy the data to.
*
* FT_Error ::
* FreeType error, 0 means success.
*
*/
static FT_Error
bsdf_init_distance_map( const FT_Bitmap* source,
BSDF_Worker* worker )
{
FT_Error error = FT_Err_Ok;
FT_Int x_diff, y_diff;
FT_Int t_i, t_j, s_i, s_j;
FT_Byte* s;
ED* t;
/* again check the parameters (probably unnecessary) */
if ( !source || !worker )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
/* Because of the way we convert bitmap to SDF */
/* i.e. aligning the source to the center of the */
/* target, the target's width/rows must be checked */
/* before copying. */
if ( worker->width < source->width ||
worker->rows < source->rows )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
/* check pixel mode */
if ( source->pixel_mode == FT_PIXEL_MODE_NONE )
{
FT_ERROR(( "[bsdf] bsdf_copy_source_to_target: "
"Invalid pixel mode of source bitmap" ));
error = FT_THROW( Invalid_Argument );
goto Exit;
}
#ifdef FT_DEBUG_LEVEL_TRACE
if ( source->pixel_mode == FT_PIXEL_MODE_MONO )
{
FT_TRACE0(( "[bsdf] bsdf_copy_source_to_target:\n"
"The `bsdf' renderer can convert monochrome bitmap\n"
"to SDF, but the results are not perfect because there\n"
"is no way to approximate actual outline from monochrome\n"
"bitmap. Consider using anti-aliased bitmap instead.\n" ));
}
#endif
/* Calculate the difference in width and rows */
/* of the target and source. */
x_diff = worker->width - source->width;
y_diff = worker->rows - source->rows;
x_diff /= 2;
y_diff /= 2;
t = (ED*)worker->distance_map;
s = source->buffer;
/* For now we only support pixel mode `FT_PIXEL_MODE_MONO' */
/* and `FT_PIXEL_MODE_GRAY'. More will be added later. */
/* [NOTE]: We can also use `FT_Bitmap_Convert' to convert */
/* bitmap to 8bpp. To avoid extra allocation and */
/* since the target bitmap can be 16bpp we manually */
/* convert the source bitmap to desired bpp. */
switch ( source->pixel_mode ) {
case FT_PIXEL_MODE_MONO:
{
FT_Int t_width = worker->width;
FT_Int t_rows = worker->rows;
FT_Int s_width = source->width;
FT_Int s_rows = source->rows;
for ( t_j = 0; t_j < t_rows; t_j++ )
{
for ( t_i = 0; t_i < t_width; t_i++ )
{
FT_Int t_index = t_j * t_width + t_i;
FT_Int s_index;
FT_Int div, mod;
FT_Byte pixel, byte;
t[t_index] = zero_ed;
s_i = t_i - x_diff;
s_j = t_j - y_diff;
/* Assign 0 to padding similar to */
/* the source bitmap. */
if ( s_i < 0 || s_i >= s_width ||
s_j < 0 || s_j >= s_rows )
continue;
if ( worker->params.flip_y )
s_index = ( s_rows - s_j - 1 ) * source->pitch;
else
s_index = s_j * source->pitch;
div = s_index + s_i / 8;
mod = 7 - s_i % 8;
pixel = s[div];
byte = 1 << mod;
t[t_index].alpha = pixel & byte ? 255 : 0;
pixel = 0;
}
}
break;
}
case FT_PIXEL_MODE_GRAY:
{
FT_Int t_width = worker->width;
FT_Int t_rows = worker->rows;
FT_Int s_width = source->width;
FT_Int s_rows = source->rows;
/* loop through all the pixels and */
/* assign pixel values from source */
for ( t_j = 0; t_j < t_rows; t_j++ )
{
for ( t_i = 0; t_i < t_width; t_i++ )
{
FT_Int t_index = t_j * t_width + t_i;
FT_Int s_index;
t[t_index] = zero_ed;
s_i = t_i - x_diff;
s_j = t_j - y_diff;
/* Assign 0 to padding similar to */
/* the source bitmap. */
if ( s_i < 0 || s_i >= s_width ||
s_j < 0 || s_j >= s_rows )
continue;
if ( worker->params.flip_y )
s_index = ( s_rows - s_j - 1 ) * s_width + s_i;
else
s_index = s_j * s_width + s_i;
/* simply copy the alpha values */
t[t_index].alpha = s[s_index];
}
}
break;
}
default:
FT_ERROR(( "[bsdf] bsdf_copy_source_to_target: "
"unsopported pixel mode of source bitmap\n" ));
error = FT_THROW( Unimplemented_Feature );
break;
}
Exit:
return error;
}
/**************************************************************************
*
* @Function:
* compare_neighbor
*
* @Description:
* Handy function which compare the neighbor ( which is defined
* by the offset ) and updae the `current' distance if the new
* distance is shorter than the original.
*
* @Input:
* current ::
* Array of distances. This parameter must point to the position
* whose neighbor is to be checked. Also the array is treated as
* a 2D array.
*
* x_offset ::
* X offset of the neighbor to be checked. The offset is releative
* to the `current' point.
*
* y_offset ::
* Y offset of the neighbor to be checked. The offset is releative
* to the `current' point.
*
* width ::
* Width of the `current' array, we need this since we treat the
* distance array as a 2D array.
*
* @Return:
* None. It just update the current distance.
*
*/
static void
compare_neighbor( ED* current,
FT_Int x_offset,
FT_Int y_offset,
FT_Int width )
{
ED* to_check;
FT_16D16 dist;
FT_16D16_Vec dist_vec;
to_check = current + ( y_offset * width ) + x_offset;
/* While checking for nearest point we first */
/* approximate the dist of the `current' point */
/* by adding the deviation ( which will be root */
/* 2 max ). And if the new value is lesser than */
/* the current value then only we calculate the */
/* actual distances using `FT_Vector_Length'. */
/* Of course this will be eliminated while using */
/* squared distances. */
/* Approximate the distance, use 1 to avoid */
/* precision errors. We subtract because the */
/* two directions can be opposite. */
dist = to_check->dist - ONE;
if ( dist < current->dist )
{
dist_vec = to_check->near;
dist_vec.x += x_offset * ONE;
dist_vec.y += y_offset * ONE;
dist = VECTOR_LENGTH_16D16( dist_vec );
if ( dist < current->dist )
{
current->dist = dist;
current->near = dist_vec;
}
}
}
/**************************************************************************
*
* @Function:
* first_pass
*
* @Description:
* First pass the 8SED algorithm. It loop the bitmap from top
* to bottom and scan each row left to right updating the distances
* in the distance map ( in the `worker' parameter ).
*
* @Input:
* worker::
* Contains all the relevant parameters.
*
* @Return:
* None. It update the distance map.
*
*/
static void
first_pass( BSDF_Worker* worker )
{
FT_Int i, j; /* iterators */
FT_Int w, r; /* width, rows */
ED* dm; /* distance map */
dm = worker->distance_map;
w = worker->width;
r = worker->rows;
/* Start scanning from top to bottom and sweep each */
/* row back and forth comparing the distances of the */
/* neighborhood. Leave the first row as it has no top */
/* neighbor, it will be covered in the 2nd scan of */
/* the image, that is from bottom to top. */
for ( j = 1; j < r; j++ )
{
FT_Int index;
ED* current;
/* Forward pass of rows (left -> right), leave, the */
/* first column, will be covered in backward pass. */
for ( i = 1; i < w; i++ )
{
index = j * w + i;
current = dm + index;
/* left-up */
compare_neighbor( current, -1, -1, w );
/* up */
compare_neighbor( current, 0, -1, w );
/* up-right */
compare_neighbor( current, 1, -1, w );
/* left */
compare_neighbor( current, -1, 0, w );
}
/* Backward pass of rows (right -> left), leave, the */
/* last column, already covered in the forward pass. */
for ( i = w - 2; i >= 0; i-- )
{
index = j * w + i;
current = dm + index;
/* right */
compare_neighbor( current, 1, 0, w );
}
}
}
/**************************************************************************
*
* @Function:
* second_pass
*
* @Description:
* Second pass the 8SED algorithm. It loop the bitmap from bottom
* to top and scan each row left to right updating the distances
* in the distance map ( in the `worker' parameter ).
*
* @Input:
* worker::
* Contains all the relevant parameters.
*
* @Return:
* None. It update the distance map.
*
*/
static void
second_pass( BSDF_Worker* worker )
{
FT_Int i, j; /* iterators */
FT_Int w, r; /* width, rows */
ED* dm; /* distance map */
dm = worker->distance_map;
w = worker->width;
r = worker->rows;
/* Start scanning from bottom to top and sweep each */
/* row back and forth comparing the distances of the */
/* neighborhood. Leave the last row as it has no down */
/* neighbor, it is already covered in the 1stscan of */
/* the image, that is from top to bottom. */
for ( j = r - 2; j >= 0; j-- )
{
FT_Int index;
ED* current;
/* Forward pass of rows (left -> right), leave, the */
/* first column, will be covered in backward pass. */
for ( i = 1; i < w; i++ )
{
index = j * w + i;
current = dm + index;
/* left-up */
compare_neighbor( current, -1, 1, w );
/* up */
compare_neighbor( current, 0, 1, w );
/* up-right */
compare_neighbor( current, 1, 1, w );
/* left */
compare_neighbor( current, -1, 0, w );
}
/* Backward pass of rows (right -> left), leave, the */
/* last column, already covered in the forward pass. */
for ( i = w - 2; i >= 0; i-- )
{
index = j * w + i;
current = dm + index;
/* right */
compare_neighbor( current, 1, 0, w );
}
}
}
/**************************************************************************
*
* @Function:
* edt8
*
* @Description:
* Function which compute the distance map of the a bitmap. It does
* both first and second pass of the 8SED algorithm.
*
* @Input:
* worker::
* Contains all the relevant parameters.
*
* @Return:
* FT_Error ::
* FreeType error, 0 means success.
*
*/
static FT_Error
edt8( BSDF_Worker* worker )
{
FT_Error error = FT_Err_Ok;
if ( !worker || !worker->distance_map )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
/* first scan of the image */
first_pass( worker );
/* second scan of the image */
second_pass( worker );
Exit:
return error;
}
/**************************************************************************
*
* @Function:
* finalize_sdf
*
* @Description:
* This function copy the SDF data from `worker->distance_map' to the
* `target' bitmap. It aslo transforms the data to our output format,
* i.e. 6.10 fixed point format at the moment.
*
* @Input:
* worker ::
* Conaints source distance map and parameters/properties which contains
* SDF data.
*
* @Return:
* target ::
* Target bitmap to which the SDF data is copied to.
*
* FT_Error ::
* FreeType error, 0 means success.
*
*/
static FT_Error
finalize_sdf( BSDF_Worker* worker,
const FT_Bitmap* target )
{
FT_Error error = FT_Err_Ok;
FT_Int w, r;
FT_Int i, j;
FT_6D10* t_buffer;
FT_16D16 spread;
if ( !worker || !target )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
w = target->width;
r = target->rows;
t_buffer = (FT_6D10*)target->buffer;
if ( w != worker->width ||
r != worker->rows )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
#if USE_SQUARED_DISTANCES
spread = FT_INT_16D16( worker->params.spread *
worker->params.spread );
#else
spread = FT_INT_16D16( worker->params.spread );
#endif
for ( j = 0; j < r; j++ )
{
for ( i = 0; i < w; i++ )
{
FT_Int index;
FT_16D16 dist;
FT_6D10 final_dist;
FT_Char sign;
index = j * w + i;
dist = worker->distance_map[index].dist;
if ( dist < 0 || dist > spread )
dist = spread;
#if USE_SQUARED_DISTANCES
dist = square_root( dist );
#endif
/* convert from 16.16 to 6.10 */
dist /= 64;
final_dist = (FT_6D10)(dist & 0x0000FFFF);
/* We assume that if the pixel is inside a contour */
/* then it's coverage value must be > 127. */
sign = worker->distance_map[index].alpha < 127 ? -1 : 1;
/* flip the sign according to the property */
if ( worker->params.flip_sign )
sign = -sign;
t_buffer[index] = final_dist * sign;
}
}
Exit:
return error;
}
/**************************************************************************
*
* interface functions
*
*/
/* called when adding a new module through `FT_Add_Module' */
static FT_Error
bsdf_raster_new( FT_Memory memory,
FT_Raster* araster)
{
FT_Error error = FT_Err_Ok;
BSDF_TRaster* raster = NULL;
*araster = 0;
if ( !FT_ALLOC( raster, sizeof( BSDF_TRaster ) ) )
{
raster->memory = memory;
*araster = (FT_Raster)raster;
}
return error;
}
/* unused */
static void
bsdf_raster_reset( FT_Raster raster,
unsigned char* pool_base,
unsigned long pool_size )
{
/* no use of this function */
FT_UNUSED( raster );
FT_UNUSED( pool_base );
FT_UNUSED( pool_size );
}
/* unused */
static FT_Error
bsdf_raster_set_mode( FT_Raster raster,
unsigned long mode,
void* args )
{
FT_UNUSED( raster );
FT_UNUSED( mode );
FT_UNUSED( args );
return FT_Err_Ok;
}
/* called while rendering through `FT_Render_Glyph' */
static FT_Error
bsdf_raster_render( FT_Raster raster,
const FT_Raster_Params* params )
{
FT_Error error = FT_Err_Ok;
const FT_Bitmap* source = NULL;
const FT_Bitmap* target = NULL;
FT_Memory memory = NULL;
BSDF_TRaster* bsdf_raster = (BSDF_TRaster*)raster;
BSDF_Worker worker;
const SDF_Raster_Params* sdf_params = (const SDF_Raster_Params*)params;
worker.distance_map = NULL;
/* check for valid parameters */
if ( !raster || !params )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
/* check if the flag is set */
if ( sdf_params->root.flags != FT_RASTER_FLAG_SDF )
{
error = FT_THROW( Raster_Corrupted );
goto Exit;
}
source = sdf_params->root.source;
target = sdf_params->root.target;
/* check the source and target bitmap */
if ( !source || !target )
{
error = FT_THROW( Invalid_Argument );
goto Exit;
}
memory = bsdf_raster->memory;
if ( !memory )
{
FT_TRACE0(( "[bsdf] bsdf_raster_render:\n"
" Raster not setup properly, "
"unable to find memory handle.\n" ));
error = FT_THROW( Invalid_Handle );
goto Exit;
}
/* check if spread is set properly */
if ( sdf_params->spread > MAX_SPREAD ||
sdf_params->spread < MIN_SPREAD )
{
FT_TRACE0((
"[bsdf] bsdf_raster_render:\n"
" The `spread' field of `SDF_Raster_Params' is invalid,\n"
" the value of this field must be within [%d, %d].\n"
" Also, you must pass `SDF_Raster_Params' instead of the\n"
" default `FT_Raster_Params' while calling this function\n"
" and set the fields properly.\n"
, MIN_SPREAD, MAX_SPREAD ));
error = FT_THROW( Invalid_Argument );
goto Exit;
}
/* setup the worker */
/* allocate the distance map */
if ( FT_QALLOC_MULT( worker.distance_map, target->rows,
target->width * sizeof( *worker.distance_map ) ) )
goto Exit;
worker.width = target->width;
worker.rows = target->rows;
worker.params = *sdf_params;
FT_CALL( bsdf_init_distance_map( source, &worker ) );
FT_CALL( bsdf_approximate_edge( &worker ) );
FT_CALL( edt8( &worker ) );
FT_CALL( finalize_sdf( &worker, target ) );
FT_TRACE0(( "[bsdf] bsdf_raster_render: "
"Total memory used = %ld\n",
worker.width * worker.rows * sizeof( *worker.distance_map ) ));
Exit:
if ( worker.distance_map )
FT_FREE( worker.distance_map );
return error;
}
/* called while deleting a `FT_Library' only if the module is added */
static void
bsdf_raster_done( FT_Raster raster )
{
FT_Memory memory = (FT_Memory)((BSDF_TRaster*)raster)->memory;
FT_FREE( raster );
}
FT_DEFINE_RASTER_FUNCS(
ft_bitmap_sdf_raster,
FT_GLYPH_FORMAT_BITMAP,
(FT_Raster_New_Func) bsdf_raster_new, /* raster_new */
(FT_Raster_Reset_Func) bsdf_raster_reset, /* raster_reset */
(FT_Raster_Set_Mode_Func) bsdf_raster_set_mode, /* raster_set_mode */
(FT_Raster_Render_Func) bsdf_raster_render, /* raster_render */
(FT_Raster_Done_Func) bsdf_raster_done /* raster_done */
)
/* END */