Module filter_1d

Structs§

filter_2d_sep_la 🔒
filter_2d_sep_la_f32 🔒
filter_2d_sep_la_u16 🔒
filter_2d_sep_plane 🔒
filter_2d_sep_plane_f32 🔒
filter_2d_sep_plane_u16 🔒
filter_2d_sep_rgb 🔒
filter_2d_sep_rgb_f32 🔒
filter_2d_sep_rgb_u16 🔒
filter_2d_sep_rgba 🔒
filter_2d_sep_rgba_f32 🔒
filter_2d_sep_rgba_u16 🔒
filter_2d_separable 🔒: Performs 2D separable convolution on the image
filter_2d_separable_ring_queue 🔒: This is typical Divide & Conquer method with not typical Sliding Window. Thus, instead of transient image here sliding window is used in a ring queue form.
filter_symmetric_column 🔒: Performs column convolution pass for symmetrical filter
filter_symmetric_row 🔒: Performs horizontal convolution for row
make_arena_row 🔒: Pads an image row with clamp strategy
make_columns_arenas 🔒: Pads a column image with clamp strategy
prepare_symmetric_kernel 🔒: Removes meaningless values from kernel preserving symmetry