Other image filters.
More...
|
SIMD_API void | SimdAbsGradientSaturatedSum (const uint8_t *src, size_t srcStride, size_t width, size_t height, uint8_t *dst, size_t dstStride) |
| Puts to destination 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image. More...
|
|
SIMD_API void | SimdGaussianBlur3x3 (const uint8_t *src, size_t srcStride, size_t width, size_t height, size_t channelCount, uint8_t *dst, size_t dstStride) |
| Performs Gaussian blur filtration with window 3x3. More...
|
|
SIMD_API void | SimdLbpEstimate (const uint8_t *src, size_t srcStride, size_t width, size_t height, uint8_t *dst, size_t dstStride) |
| Calculates LBP (Local Binary Patterns) for 8-bit gray image. More...
|
|
SIMD_API void | SimdMeanFilter3x3 (const uint8_t *src, size_t srcStride, size_t width, size_t height, size_t channelCount, uint8_t *dst, size_t dstStride) |
| Performs an averaging with window 3x3. More...
|
|
template<template< class > class A> |
SIMD_INLINE void | AbsGradientSaturatedSum (const View< A > &src, View< A > &dst) |
| Puts to destination 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image. More...
|
|
template<template< class > class A> |
SIMD_INLINE void | GaussianBlur3x3 (const View< A > &src, View< A > &dst) |
| Performs Gaussian blur filtration with window 3x3. More...
|
|
template<template< class > class A> |
SIMD_INLINE void | LbpEstimate (const View< A > &src, View< A > &dst) |
| Calculates LBP (Local Binary Patterns) for 8-bit gray image. More...
|
|
template<template< class > class A> |
SIMD_INLINE void | MeanFilter3x3 (const View< A > &src, View< A > &dst) |
| Performs an averaging with window 3x3. More...
|
|
Other image filters.
void SimdAbsGradientSaturatedSum |
( |
const uint8_t * |
src, |
|
|
size_t |
srcStride, |
|
|
size_t |
width, |
|
|
size_t |
height, |
|
|
uint8_t * |
dst, |
|
|
size_t |
dstStride |
|
) |
| |
Puts to destination 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image.
Both images must have the same width and height.
For border pixels: dst[x, y] = 0;
For other pixels: dx = abs(src[x + 1, y] - src[x - 1, y]);
dy = abs(src[x, y + 1] - src[x, y - 1]);
dst[x, y] = min(dx + dy, 255);
- Note
- This function has a C++ wrapper Simd::AbsGradientSaturatedSum(const View<A>& src, View<A>& dst).
- Parameters
-
[in] | src | - a pointer to pixels data of source 8-bit gray image. |
[in] | srcStride | - a row size of source image. |
[in] | width | - an image width. |
[in] | height | - an image height. |
[out] | dst | - a pointer to pixels data of destination 8-bit gray image. |
[in] | dstStride | - a row size of destination image. |
void SimdGaussianBlur3x3 |
( |
const uint8_t * |
src, |
|
|
size_t |
srcStride, |
|
|
size_t |
width, |
|
|
size_t |
height, |
|
|
size_t |
channelCount, |
|
|
uint8_t * |
dst, |
|
|
size_t |
dstStride |
|
) |
| |
Performs Gaussian blur filtration with window 3x3.
For every point: dst[x, y] = (src[x-1, y-1] + 2*src[x, y-1] + src[x+1, y-1] +
2*(src[x-1, y] + 2*src[x, y] + src[x+1, y]) +
src[x-1, y+1] + 2*src[x, y+1] + src[x+1, y+1] + 8) / 16;
All images must have the same width, height and format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).
- Note
- This function has a C++ wrapper Simd::GaussianBlur3x3(const View<A>& src, View<A>& dst).
- Parameters
-
[in] | src | - a pointer to pixels data of source image. |
[in] | srcStride | - a row size of the src image. |
[in] | width | - an image width. |
[in] | height | - an image height. |
[in] | channelCount | - a channel count. |
[out] | dst | - a pointer to pixels data of destination image. |
[in] | dstStride | - a row size of the dst image. |
void SimdLbpEstimate |
( |
const uint8_t * |
src, |
|
|
size_t |
srcStride, |
|
|
size_t |
width, |
|
|
size_t |
height, |
|
|
uint8_t * |
dst, |
|
|
size_t |
dstStride |
|
) |
| |
Calculates LBP (Local Binary Patterns) for 8-bit gray image.
All images must have the same width and height.
- Note
- This function has a C++ wrappers: Simd::LbpEstimate(const View<A>& src, View<A>& dst).
- Parameters
-
[in] | src | - a pointer to pixels data of input 8-bit gray image. |
[in] | srcStride | - a row size of src image. |
[in] | width | - an image width. |
[in] | height | - an image height. |
[out] | dst | - a pointer to pixels data of output 8-bit gray image with LBP. |
[in] | dstStride | - a row size of dst image. |
void SimdMeanFilter3x3 |
( |
const uint8_t * |
src, |
|
|
size_t |
srcStride, |
|
|
size_t |
width, |
|
|
size_t |
height, |
|
|
size_t |
channelCount, |
|
|
uint8_t * |
dst, |
|
|
size_t |
dstStride |
|
) |
| |
Performs an averaging with window 3x3.
For every point: dst[x, y] = (src[x-1, y-1] + src[x, y-1] + src[x+1, y-1] +
src[x-1, y] + src[x, y] + src[x+1, y] +
src[x-1, y+1] + src[x, y+1] + src[x+1, y+1] + 4) / 9;
All images must have the same width, height and format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).
- Note
- This function has a C++ wrapper Simd::MeanFilter3x3(const View<A>& src, View<A>& dst).
- Parameters
-
[in] | src | - a pointer to pixels data of source image. |
[in] | srcStride | - a row size of the src image. |
[in] | width | - an image width. |
[in] | height | - an image height. |
[in] | channelCount | - a channel count. |
[out] | dst | - a pointer to pixels data of destination image. |
[in] | dstStride | - a row size of the dst image. |
void AbsGradientSaturatedSum |
( |
const View< A > & |
src, |
|
|
View< A > & |
dst |
|
) |
| |
Puts to destination 8-bit gray image saturated sum of absolute gradient for every point of source 8-bit gray image.
Both images must have the same width and height.
For border pixels: dst[x, y] = 0;
For other pixels: dx = abs(src[x + 1, y] - src[x - 1, y]);
dy = abs(src[x, y + 1] - src[x, y - 1]);
dst[x, y] = min(dx + dy, 255);
- Note
- This function is a C++ wrapper for function SimdAbsGradientSaturatedSum.
- Parameters
-
[in] | src | - a source 8-bit gray image. |
[out] | dst | - a destination 8-bit gray image. |
void GaussianBlur3x3 |
( |
const View< A > & |
src, |
|
|
View< A > & |
dst |
|
) |
| |
Performs Gaussian blur filtration with window 3x3.
For every point: dst[x, y] = (src[x-1, y-1] + 2*src[x, y-1] + src[x+1, y-1] +
2*(src[x-1, y] + 2*src[x, y] + src[x+1, y]) +
src[x-1, y+1] + 2*src[x, y+1] + src[x+1, y+1] + 8) / 16;
All images must have the same width, height and format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).
- Note
- This function is a C++ wrapper for function SimdGaussianBlur3x3.
- Parameters
-
[in] | src | - a source image. |
[out] | dst | - a destination image. |
void LbpEstimate |
( |
const View< A > & |
src, |
|
|
View< A > & |
dst |
|
) |
| |
Calculates LBP (Local Binary Patterns) for 8-bit gray image.
All images must have the same width and height.
- Note
- This function is a C++ wrapper for function SimdLbpEstimate.
- Parameters
-
[in] | src | - an input 8-bit gray image. |
[out] | dst | - an output 8-bit gray image with LBP. |
void MeanFilter3x3 |
( |
const View< A > & |
src, |
|
|
View< A > & |
dst |
|
) |
| |
Performs an averaging with window 3x3.
For every point: dst[x, y] = (src[x-1, y-1] + src[x, y-1] + src[x+1, y-1] +
src[x-1, y] + src[x, y] + src[x+1, y] +
src[x-1, y+1] + src[x, y+1] + src[x+1, y+1] + 4) / 9;
All images must have the same width, height and format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).
- Note
- This function is a C++ wrapper for function SimdMeanFilter3x3.
- Parameters
-
[in] | src | - a source image. |
[out] | dst | - a destination image. |
|