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fix off-by-one on gaussian_filter and box_filter

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This commit is contained in:
David Rose 2013-05-29 00:22:38 +00:00
parent 842f4d82a0
commit c7daa00c5b
3 changed files with 23 additions and 19 deletions
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24
panda/src/pnmimage/config_pnmimage.cxx
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@ -36,22 +36,24 @@ ConfigVariableBool pfm_reverse_dimensions
"backwards, in the form height width instead of width height, "
"on input. Does not affect output, which is always written width height."));
ConfigVariableBool pfm_resize_quick
("pfm-resize-quick", false,
PRC_DESC("Specify true to implement PfmFile::resize() with a \"quick\" filter, "
"but only when the pfm is being downsampled (to a smaller size). "
"This just controls the behavior of resize(); you can "
"always call quick_filter() explicitly."));
ConfigVariableBool pfm_resize_gaussian
("pfm-resize-gaussian", false,
("pfm-resize-gaussian", true,
PRC_DESC("Specify true to implement PfmFile::resize() with a higher-quality "
"Gaussian filter, or false to implement it with a faster box "
"filter. This just controls the behavior of resize(); you can "
"always call box_filter() or gaussian_filter() explicitly."));
ConfigVariableBool pfm_resize_quick
("pfm-resize-quick", true,
PRC_DESC("If pfm-resize-gaussian is false, set this true to allow the "
"so-called \"quick\" filter when the pfm is being downscaled. This "
"is even faster than the normal box filter. In some cases it "
"may also be more precise, though it may be more aliased."));
"filter. If pfm-resize-quick is also true, then only takes effect "
"when the pfm is being upsampled. This just controls the behavior "
"of resize(); you can always call box_filter() or gaussian_filter() "
"explicitly."));
ConfigVariableDouble pfm_resize_radius
("pfm-resize-radius", 1.0,
("pfm-resize-radius", 0.5,
PRC_DESC("Specify the default filter radius for PfmFile::resize(). "
"This just controls the behavior of resize(); you can "
"always call box_filter() or gaussian_filter() explicitly with "

15
panda/src/pnmimage/pfmFile.cxx
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@ -989,15 +989,16 @@ resize(int new_x_size, int new_y_size) {
result.fill(_no_data_value);
}
if (pfm_resize_gaussian) {
result.gaussian_filter_from(pfm_resize_radius, *this);
if (pfm_resize_quick && new_x_size <= _x_size && new_y_size <= _y_size) {
// If we're downscaling, we can use quick_filter, which is faster.
result.quick_filter_from(*this);
} else {
if (pfm_resize_quick && new_x_size <= _x_size && new_y_size <= _y_size) {
// If we're downscaling, we can use quick_filter, which is faster.
result.quick_filter_from(*this);
// Otherwise, we should use box_filter() or gaussian_filter, which
// are more general.
if (pfm_resize_gaussian) {
result.gaussian_filter_from(pfm_resize_radius, *this);
} else {
// Otherwise, we should use box_filter(), which is more general.
result.box_filter_from(pfm_resize_radius, *this);
}
}

3
panda/src/pnmimage/pnm-image-filter.cxx
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@ -184,7 +184,8 @@ filter_sparse_row(StoreType dest[], StoreType dest_weight[], int dest_len,
int offset = (int)cfloor(iscale*0.5);
for (int dest_x = 0; dest_x < dest_len; dest_x++) {
double center = (dest_x - offset) / scale;
// The additional offset of 0.5 keeps the pixel centered.
double center = (dest_x - offset + 0.5) / scale;
// left and right are the starting and ending ranges of the radius of
// interest of the filter function. We need to apply the filter to each