Functions for image resizing. More...

Enumerations
enum	SimdResizeChannelType { SimdResizeChannelByte, SimdResizeChannelFloat }

enum	SimdResizeMethodType { SimdResizeMethodBilinear, SimdResizeMethodCaffeInterp }

Functions
SIMD_API void	SimdReduceGray2x2 (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride)
	Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 2x2. More...

SIMD_API void	SimdReduceGray3x3 (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride, int compensation)
	Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 3x3. More...

SIMD_API void	SimdReduceGray4x4 (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride)
	Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 4x4. More...

SIMD_API void	SimdReduceGray5x5 (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride, int compensation)
	Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 5x5. More...

SIMD_API void	SimdResizeBilinear (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride, size_t channelCount)
	Performs resizing of input image with using bilinear interpolation. More...

SIMD_API void *	SimdResizerInit (size_t srcX, size_t srcY, size_t dstX, size_t dstY, size_t channels, SimdResizeChannelType type, SimdResizeMethodType method)
	Creates resize context. More...

SIMD_API void	SimdResizerRun (const void resizer, const uint8_t src, size_t srcStride, uint8_t *dst, size_t dstStride)
	Performs image resizing. More...

SIMD_API void	SimdStretchGray2x2 (const uint8_t src, size_t srcWidth, size_t srcHeight, size_t srcStride, uint8_t dst, size_t dstWidth, size_t dstHeight, size_t dstStride)
	Stretches input 8-bit gray image in two times. More...

template<template< class > class A>
SIMD_INLINE void	ReduceGray2x2 (const View< A > &src, View< A > &dst)
	Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 2x2. More...

template<template< class > class A>
SIMD_INLINE void	ReduceGray3x3 (const View< A > &src, View< A > &dst, bool compensation=true)
	Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 3x3. More...

template<template< class > class A>
SIMD_INLINE void	ReduceGray4x4 (const View< A > &src, View< A > &dst)
	Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 4x4. More...

template<template< class > class A>
SIMD_INLINE void	ReduceGray5x5 (const View< A > &src, View< A > &dst, bool compensation=true)
	Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 5x5. More...

template<template< class > class A>
SIMD_INLINE void	ReduceGray (const View< A > &src, View< A > &dst, ::SimdReduceType reduceType, bool compensation=true)
	Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image. More...

template<template< class > class A>
SIMD_INLINE void	ResizeBilinear (const View< A > &src, View< A > &dst)
	Performs resizing of input image with using bilinear interpolation. More...

template<template< class > class A>
SIMD_INLINE void	ResizeAreaGray (const View< A > &src, View< A > &dst)
	Performs resizing of input image with using area interpolation. More...

template<template< class > class A>
SIMD_INLINE void	StretchGray2x2 (const View< A > &src, View< A > &dst)
	Stretches input 8-bit gray image in two times. More...

Detailed Description

Functions for image resizing.

Enumeration Type Documentation

◆ SimdResizeChannelType

enum SimdResizeChannelType

Describes resized image channel types.

Enumerator
SimdResizeChannelByte	8-bit integer channel type.
SimdResizeChannelFloat	32-bit float channel type.

◆ SimdResizeMethodType

enum SimdResizeMethodType

Describes methods used in oreder to resize image.

Enumerator
SimdResizeMethodBilinear	Bilinear method.
SimdResizeMethodCaffeInterp	caffe::interp compatible method.

Function Documentation

◆ SimdReduceGray2x2()

void SimdReduceGray2x2	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride
	)

Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 2x2.

For input and output image must be performed: dstWidth = (srcWidth + 1)/2, dstHeight = (srcHeight + 1)/2.

For all points:

dst[x, y] = (src[2*x, 2*y] + src[2*x, 2*y + 1] + src[2*x + 1, 2*y] + src[2*x + 1, 2*y + 1] + 2)/4;

Note: This function has a C++ wrappers: Simd::ReduceGray2x2(const View<A>& src, View<A>& dst).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the reduced output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.

◆ SimdReduceGray3x3()

void SimdReduceGray3x3	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride,
		int	compensation
	)

Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 3x3.

For input and output image must be performed: dstWidth = (srcWidth + 1)/2, dstHeight = (srcHeight + 1)/2.

For every point:

dst[x, y] = (src[2*x-1, 2*y-1] + 2*src[2*x, 2*y-1] + src[2*x+1, 2*y-1] +
          2*(src[2*x-1, 2*y]   + 2*src[2*x, 2*y]   + src[2*x+1, 2*y]) +
             src[2*x-1, 2*y+1] + 2*src[2*x, 2*y+1] + src[2*x+1, 2*y+1] + compensation ? 8 : 0) / 16;

Note: This function has a C++ wrappers: Simd::ReduceGray3x3(const View<A>& src, View<A>& dst, bool compensation).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the reduced output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.
[in]	compensation	- a flag of compensation of rounding.

◆ SimdReduceGray4x4()

void SimdReduceGray4x4	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride
	)

Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 4x4.

For input and output image must be performed: dstWidth = (srcWidth + 1)/2, dstHeight = (srcHeight + 1)/2.

For every point:

dst[x, y] = (src[2*x-1, 2*y-1] + 3*src[2*x, 2*y-1] + 3*src[2*x+1, 2*y-1] + src[2*x+2, 2*y-1]
          3*(src[2*x-1, 2*y]   + 3*src[2*x, 2*y]   + 3*src[2*x+1, 2*y]   + src[2*x+2, 2*y]) +
          3*(src[2*x-1, 2*y+1] + 3*src[2*x, 2*y+1] + 3*src[2*x+1, 2*y+1] + src[2*x+2, 2*y+1]) +
             src[2*x-1, 2*y+2] + 3*src[2*x, 2*y+2] + 3*src[2*x+1, 2*y+2] + src[2*x+2, 2*y+2] + 32) / 64;

Note: This function has a C++ wrappers: Simd::ReduceGray4x4(const View<A>& src, View<A>& dst).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the reduced output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.

◆ SimdReduceGray5x5()

void SimdReduceGray5x5	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride,
		int	compensation
	)

Performs reducing and Gaussian blurring (in two time) a 8-bit gray image with using window 5x5.

For input and output image must be performed: dstWidth = (srcWidth + 1)/2, dstHeight = (srcHeight + 1)/2.

For every point:

dst[x, y] = (
       src[2*x-2, 2*y-2] + 4*src[2*x-1, 2*y-2] + 6*src[2*x, 2*y-2] + 4*src[2*x+1, 2*y-2] + src[2*x+2, 2*y-2] +
    4*(src[2*x-2, 2*y-1] + 4*src[2*x-1, 2*y-1] + 6*src[2*x, 2*y-1] + 4*src[2*x+1, 2*y-1] + src[2*x+2, 2*y-1]) +
    6*(src[2*x-2, 2*y]   + 4*src[2*x-1, 2*y]   + 6*src[2*x, 2*y]   + 4*src[2*x+1, 2*y]   + src[2*x+2, 2*y]) +
    4*(src[2*x-2, 2*y+1] + 4*src[2*x-1, 2*y+1] + 6*src[2*x, 2*y+1] + 4*src[2*x+1, 2*y+1] + src[2*x+2, 2*y+1]) +
       src[2*x-2, 2*y+2] + 4*src[2*x-1, 2*y+2] + 6*src[2*x, 2*y+2] + 4*src[2*x+1, 2*y+2] + src[2*x+2, 2*y+2] +
    compensation ? 128 : 0) / 256;

Note: This function has a C++ wrappers: Simd::ReduceGray5x5(const Viewc<A>& src, View<A>& dst, bool compensation).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the reduced output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.
[in]	compensation	- a flag of compensation of rounding.

◆ SimdResizeBilinear()

void SimdResizeBilinear	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride,
		size_t	channelCount
	)

Performs resizing of input image with using bilinear interpolation.

All images must have the same format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).

Note: This function has a C++ wrappers: Simd::ResizeBilinear(const View<A>& src, View<A>& dst).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the reduced output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.
[in]	channelCount	- a channel count.

◆ SimdResizerInit()

void * SimdResizerInit	(	size_t	srcX,
		size_t	srcY,
		size_t	dstX,
		size_t	dstY,
		size_t	channels,
		SimdResizeChannelType	type,
		SimdResizeMethodType	method
	)

Creates resize context.

Parameters

[in]	srcX	- a width of the input image.
[in]	srcY	- a height of the input image.
[in]	dstX	- a width of the output image.
[in]	dstY	- a height of the output image.
[in]	channels	- a channel number of input and output image.
[in]	type	- a type of input and output image channel.
[in]	method	- a method used in order to resize image.

Returns: a pointer to resize context. On error it returns NULL. This pointer is used in functions SimdResizerRun. It must be released with using of function SimdRelease.

◆ SimdResizerRun()

void SimdResizerRun	(	const void *	resizer,
		const uint8_t *	src,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstStride
	)

Performs image resizing.

Parameters

[in]	resizer	- a resize context. It must be created by function SimdResizerInit and released by function SimdRelease.
[in]	src	- a pointer to pixels data of the original input image.
[in]	srcStride	- a row size (in bytes) of the input image.
[out]	dst	- a pointer to pixels data of the resized output image.
[in]	dstStride	- a row size (in bytes) of the output image.

◆ SimdStretchGray2x2()

void SimdStretchGray2x2	(	const uint8_t *	src,
		size_t	srcWidth,
		size_t	srcHeight,
		size_t	srcStride,
		uint8_t *	dst,
		size_t	dstWidth,
		size_t	dstHeight,
		size_t	dstStride
	)

Stretches input 8-bit gray image in two times.

Note: This function has a C++ wrappers: Simd::StretchGray2x2(const View<A>& src, View<A>& dst).

Parameters

[in]	src	- a pointer to pixels data of the original input image.
[in]	srcWidth	- a width of the input image.
[in]	srcHeight	- a height of the input image.
[in]	srcStride	- a row size of the input image.
[out]	dst	- a pointer to pixels data of the stretched output image.
[in]	dstWidth	- a width of the output image.
[in]	dstHeight	- a height of the output image.
[in]	dstStride	- a row size of the output image.

◆ ReduceGray2x2()

void ReduceGray2x2	(	const View< A > &	src,
		View< A > &	dst
	)

Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 2x2.

For input and output image must be performed: dst.width = (src.width + 1)/2, dst.height = (src.height + 1)/2.

For all points:

dst[x, y] = (src[2*x, 2*y] + src[2*x, 2*y + 1] + src[2*x + 1, 2*y] + src[2*x + 1, 2*y + 1] + 2)/4;

Note: This function is a C++ wrapper for function SimdReduceGray2x2.

Parameters

[in]	src	- an original input image.
[out]	dst	- a reduced output image.

◆ ReduceGray3x3()

void ReduceGray3x3	(	const View< A > &	src,
		View< A > &	dst,
		bool	compensation = `true`
	)

Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 3x3.

For input and output image must be performed: dst.width = (src.width + 1)/2, dst.height = (src.height + 1)/2.

For every point:

dst[x, y] = (src[2*x-1, 2*y-1] + 2*src[2*x, 2*y-1] + src[2*x+1, 2*y-1] +
          2*(src[2*x-1, 2*y]   + 2*src[2*x, 2*y]   + src[2*x+1, 2*y]) +
             src[2*x-1, 2*y+1] + 2*src[2*x, 2*y+1] + src[2*x+1, 2*y+1] + compensation ? 8 : 0) / 16;

Note: This function is a C++ wrapper for function SimdReduceGray3x3.

Parameters

[in]	src	- an original input image.
[out]	dst	- a reduced output image.
[in]	compensation	- a flag of compensation of rounding. It is equal to 'true' by default.

◆ ReduceGray4x4()

void ReduceGray4x4	(	const View< A > &	src,
		View< A > &	dst
	)

Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 4x4.

For input and output image must be performed: dst.width = (src.width + 1)/2, dst.height = (src.height + 1)/2.

For every point:

dst[x, y] =   (src[2*x-1, 2*y-1] + 3*src[2*x, 2*y-1] + 3*src[2*x+1, 2*y-1] + src[2*x+2, 2*y-1]
            3*(src[2*x-1, 2*y]   + 3*src[2*x, 2*y]   + 3*src[2*x+1, 2*y]   + src[2*x+2, 2*y]) +
            3*(src[2*x-1, 2*y+1] + 3*src[2*x, 2*y+1] + 3*src[2*x+1, 2*y+1] + src[2*x+2, 2*y+1]) +
               src[2*x-1, 2*y+2] + 3*src[2*x, 2*y+2] + 3*src[2*x+1, 2*y+2] + src[2*x+2, 2*y+2] + 32) / 64;

Note: This function is a C++ wrapper for function SimdReduceGray4x4.

Parameters

[in]	src	- an original input image.
[out]	dst	- a reduced output image.

◆ ReduceGray5x5()

void ReduceGray5x5	(	const View< A > &	src,
		View< A > &	dst,
		bool	compensation = `true`
	)

Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image with using window 5x5.

For input and output image must be performed: dst.width = (src.width + 1)/2, dst.height = (src.height + 1)/2.

For every point:

dst[x, y] = (
       src[2*x-2, 2*y-2] + 4*src[2*x-1, 2*y-2] + 6*src[2*x, 2*y-2] + 4*src[2*x+1, 2*y-2] + src[2*x+2, 2*y-2] +
    4*(src[2*x-2, 2*y-1] + 4*src[2*x-1, 2*y-1] + 6*src[2*x, 2*y-1] + 4*src[2*x+1, 2*y-1] + src[2*x+2, 2*y-1]) +
    6*(src[2*x-2, 2*y]   + 4*src[2*x-1, 2*y]   + 6*src[2*x, 2*y]   + 4*src[2*x+1, 2*y]   + src[2*x+2, 2*y]) +
    4*(src[2*x-2, 2*y+1] + 4*src[2*x-1, 2*y+1] + 6*src[2*x, 2*y+1] + 4*src[2*x+1, 2*y+1] + src[2*x+2, 2*y+1]) +
       src[2*x-2, 2*y+2] + 4*src[2*x-1, 2*y+2] + 6*src[2*x, 2*y+2] + 4*src[2*x+1, 2*y+2] + src[2*x+2, 2*y+2] +
    compensation ? 128 : 0) / 256;

Note: This function is a C++ wrapper for function SimdReduceGray5x5.

Parameters

[in]	src	- an original input image.
[out]	dst	- a reduced output image.
[in]	compensation	- a flag of compensation of rounding. It is equal to 'true' by default.

◆ ReduceGray()

void ReduceGray	(	const View< A > &	src,
		View< A > &	dst,
		::SimdReduceType	reduceType,
		bool	compensation = `true`
	)

Performs reducing (in 2 times) and Gaussian blurring a 8-bit gray image.

For input and output image must be performed: dst.width = (src.width + 1)/2, dst.height = (src.height + 1)/2.

Parameters

[in]	src	- an original input image.
[out]	dst	- a reduced output image.
[in]	reduceType	- a type of function used for image reducing.
[in]	compensation	- a flag of compensation of rounding. It is relevant only for SimdReduce3x3 and SimdReduce5x5. It is equal to 'true' by default.

◆ ResizeBilinear()

void ResizeBilinear	(	const View< A > &	src,
		View< A > &	dst
	)

Performs resizing of input image with using bilinear interpolation.

All images must have the same format (8-bit gray, 16-bit UV, 24-bit BGR or 32-bit BGRA).

Note: This function is a C++ wrapper for function SimdResizeBilinear.

Parameters

[in]	src	- an original input image.
[out]	dst	- a resized output image.

◆ ResizeAreaGray()

void ResizeAreaGray	(	const View< A > &	src,
		View< A > &	dst
	)

Performs resizing of input image with using area interpolation.

All images must have the same format (8-bit gray).

Parameters

[in]	src	- an original input image.
[out]	dst	- a resized output image.

◆ StretchGray2x2()

void StretchGray2x2	(	const View< A > &	src,
		View< A > &	dst
	)

Stretches input 8-bit gray image in two times.

Note: This function is a C++ wrapper for function SimdStretchGray2x2.

Parameters

[in]	src	- an original input image.
[out]	dst	- a stretched output image.

Simd Library Documentation.

Enumerations

Functions

Detailed Description

Enumeration Type Documentation

◆ SimdResizeChannelType

◆ SimdResizeMethodType

Function Documentation

◆ SimdReduceGray2x2()

◆ SimdReduceGray3x3()

◆ SimdReduceGray4x4()

◆ SimdReduceGray5x5()

◆ SimdResizeBilinear()

◆ SimdResizerInit()

◆ SimdResizerRun()

◆ SimdStretchGray2x2()

◆ ReduceGray2x2()

◆ ReduceGray3x3()

◆ ReduceGray4x4()

◆ ReduceGray5x5()

◆ ReduceGray()

◆ ResizeBilinear()

◆ ResizeAreaGray()

◆ StretchGray2x2()