mlib_ImageConvMxNIndex

- MxN convolution on a color indexed image

Synopsis

cc [ flag... ] file... -lmlib [ library... ]
#include <mlib.h>

mlib_status mlib_ImageConvMxNIndex(mlib_image *dst, const mlib_image *src,
     const mlib_s32 *kernel, mlib_s32 m, mlib_s32 n, mlib_s32 dm,
     mlib_s32 dn, mlib_s32 scale, mlib_edge edge, const void *colormap);

Description

The mlib_ImageConvMxNIndex() function performs a MxN convolution on the color indexed source image by using the user-supplied kernel.

The input and output images must have the same image type and size.

For this convolution, the key element of the convolution kernel is located at (dm, dn) of the kernel matrix.

This function performs the convolution on a color indexed image. The input image and the output image must be single-channel images. The image type must be MLIB_BYTE or MLIB_SHORT.

It uses the following equation:

               m-1-dm n-1-dn
dst[x][y][i] =  SUM    SUM  src[x+p][y+q][i]*k[p][q]*2**(-scale)
               p=-dm  q=-dn

where m > 1, n > 1, 0 ≤ dm < m, 0 ≤ dn < n.

Parameters

The function takes the following arguments:

dst

Pointer to destination image.

src

Pointer to source image.

kernel

Pointer to the convolution kernel, in row major order.

m

Width of the convolution kernel. m > 1.

n

Height of the convolution kernel. n > 1.

dm

X coordinate of the key element in the convolution kernel. 0 ≤ dm < m.

dn

Y coordinate of the key element in the convolution kernel. 0 ≤ dn < n.

scale

Scaling factor.

edge

Type of edge condition. It can be one of the following:

MLIB_EDGE_DST_NO_WRITE
MLIB_EDGE_DST_FILL_ZERO
MLIB_EDGE_DST_COPY_SRC
MLIB_EDGE_SRC_EXTEND

colormap

Internal data structure for inverse color mapping. This data structure is generated by the mlib_ImageColorTrue2IndexInit() function.

Return Values

The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE.

Attributes

See attributes(5) for descriptions of the following attributes:

See Also

mlib_ImageConv2x2(3MLIB), mlib_ImageConv2x2_Fp(3MLIB), mlib_ImageConv2x2Index(3MLIB), mlib_ImageConv3x3(3MLIB), mlib_ImageConv3x3_Fp(3MLIB), mlib_ImageConv3x3Index(3MLIB), mlib_ImageConv4x4(3MLIB), mlib_ImageConv4x4_Fp(3MLIB), mlib_ImageConv4x4Index(3MLIB), mlib_ImageConv5x5(3MLIB), mlib_ImageConv5x5_Fp(3MLIB), mlib_ImageConv5x5Index(3MLIB), mlib_ImageConv7x7(3MLIB), mlib_ImageConv7x7_Fp(3MLIB), mlib_ImageConv7x7Index(3MLIB), mlib_ImageConvKernelConvert(3MLIB), mlib_ImageConvMxN(3MLIB), mlib_ImageConvMxN_Fp(3MLIB), mlib_ImageConvolveMxN(3MLIB), mlib_ImageConvolveMxN_Fp(3MLIB), mlib_ImageSConv3x3(3MLIB), mlib_ImageSConv3x3_Fp(3MLIB), mlib_ImageSConv5x5(3MLIB), mlib_ImageSConv5x5_Fp(3MLIB), mlib_ImageSConv7x7(3MLIB), mlib_ImageSConv7x7_Fp(3MLIB), mlib_ImageSConvKernelConvert(3MLIB), attributes(5)