Intel IPP Integration Wrappers Developer Guide and Reference

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ID 751823
Date 1/18/2023
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Document Table of Contents x
Integration Wrappers for Intel(R) Integrated Performance Primitives Developer Guide and Reference
Integration Wrappers for Intel(R) Integrated Performance Primitives Developer Guide and Reference x
Introducing Integration Wrappers for Intel® Integrated Performance Primitives Getting Help and Support Overview Getting Started C Reference C++ Reference Bibliography Notices and Disclaimers
Overview x
Key Features Architecture Conventions Tiling and Threading
Getting Started x
Checking Your Installation Configuring Your Build Environment Finding Documentation for Integration Wrappers Sources
C Reference x
Core Functionality Signal Processing Image Processing
Core Functionality x
Library Scope Initialization and Control Utility Functions
Library Scope Initialization and Control x
iwGetLibVersion iwSetThreadsNum iwGetThreadsNum iwGetThreadsNumDefault iwGetStatusString
Utility Functions x
iwTypeToSize iwTypeIsFloat iwTypeIsSigned iwTypeGetMax iwTypeGetMin iwTypeGetRange iwValueSaturate iwValueAbsToRel iwValueRelToAbs iwRangeWeightCorrector iwAtomic_AddInt Thread Local Storage
Thread Local Storage x
IwTls Structure iwTls_Init iwTls_Set iwTls_Get iwTls_Release iwTls_ReleaseData
Signal Processing x
Signal Processing Structures Vector Tiling Functions Signal Transforms
Vector x
iwsShiftPtr iwsVector_Init iwsVector_InitExternal iwsVector_InitExternalConst iwsVector_Alloc iwsVector_Release iwsVector_GetPtr iwsVector_GetPtrConst iwsVector_BorderAdd iwsVector_BorderSub iwsVector_BorderSet iwsVector_RoiSet iwsVector_GetRoiVector
Tiling Functions x
iwsTile_SetRoi
Signal Transforms x
iwsDCT
Image Processing x
Image Processing Structures Utility Functions Basic Operations Arithmetic Operations Filtering Functions Image Geometry Transforms Color Conversion RGB Color Model RGB to Grayscale Conversion
Utility Functions x
iwiShiftPtr iwiShiftPtrConst iwiSizeToBorderSize iwiMaskToSize iwiSizeSymToBorderSize Image Tiling Functions
Image x
iwiImage_Init iwiImage_InitExternal iwiImage_InitExternalConst iwiImage_Alloc iwiImage_Release iwiImage_GetPtr iwiImage_GetPtrConst iwiImage_BorderAdd iwiImage_BorderSub iwiImage_BorderSet iwiImage_RoiSet iwiImage_GetRoiImage
Tiling Functions x
iwiTile_GetTileBorder iwiTile_GetMinTileSize iwiTile_CorrectBordersOverlap Basic Tiling API Pipeline Tiling API
Basic Operations x
iwiCopyChannel iwiCopy iwiCopyMerge iwiCopySplit iwiCopyMakeBorder iwiScale iwiScale_GetScaleVals iwiSetChannel iwiSet iwiSwapChannels
Arithmetic Operations x
iwiAdd iwiAddC iwiSub iwiSubC iwiMul iwiMulC iwiDiv iwiDivC
Filtering Functions x
Filtering Structures and Enumerators iwiFilter iwiFilterBox iwiFilterCanny iwiFilterCannyDeriv iwiFilterSobel iwiFilterScharr iwiFilterLaplacian iwiFilterGaussian iwiFilterMorphology iwiFilterMorphology_GetBorderSize iwiFilterBilateral
Image Geometry Transforms x
iwiMirror iwiMirror_GetSrcRoi iwiRotate iwiRotate_GetDstSize Resize WarpAffine
Resize x
Structures and Enumerators iwiResize_SetDefaultParams iwiResize iwiResize_Free iwiResize_InitAlloc iwiResize_Process iwiResize_GetSrcRoi iwiResize_GetBorderSize
WarpAffine x
Edge Smoothing Structures and Enumerators iwiWarpAffine_SetDefaultParams iwiWarpAffine iwiWarpAffine_Free iwiWarpAffine_InitAlloc iwiWarpAffine_Process
Color Conversion x
RGB Color Model RGB to Grayscale Conversion IwColorFmt Enumerator iwiColorToChannels iwiColorToPlanes iwiColorGetPlaneSize iwiColorConvert
C++ Reference x
Core Functionality Signal Processing Image Processing
Signal Processing x
Basic Classes Signal Transforms
Signal Transforms x
iwsDCT
Image Processing x
Basic Classes Basic Operations Arithmetic Operations Filtering Functions Image Geometry Transforms Color Conversion
Basic Operations x
iwiCopyChannel iwiCopy iwiCopyMerge iwiCopySplit iwiCopyMakeBorder iwiSwapChannels iwiScale iwiScale_GetScaleVals iwiSetChannel iwiSet
Arithmetic Operations x
iwiAdd iwiAddC iwiSub iwiSubC iwiMul iwiMulC iwiDiv iwiDivC
Filtering Functions x
Filtering Structures and Enumerators iwiFilter iwiFilterBox iwiFilterCanny iwiFilterCannyDeriv iwiFilterSobel iwiFilterBilateral iwiFilterScharr iwiFilterLaplacian iwiFilterMorphology iwiFilterMorphology_GetBorderSize FilterGaussian
FilterGaussian x
class IwiFilterGaussianParams class IwiFilterGaussian iwiFilterGaussian
Image Geometry Transforms x
iwiMirror_GetSrcRoi iwiMirror_GetDstSize iwiMirror Resize WarpAffine
Resize x
class IwiResizeParams class IwiResize
WarpAffine x
class IwiWarpAffineParams class IwiWarpAffine
Color Conversion x
iwiColorConvert
Integration Wrappers for Intel(R) Integrated Performance Primitives Developer Guide and Reference

Color Conversion

RGB Color Model

In the RGB model, each color appears as a combination of red, green, and blue. This model is called additive, and the colors are called primary colors. The primary colors can be added to produce the secondary colors of light (see Primary and Secondary Colors for RGB and CMYK Models) - magenta (red plus blue), cyan (green plus blue), and yellow (red plus green). The combination of red, green, and blue at full intensities makes white.

Primary and Secondary Colors for RGB and CMYK Models



The color subspace of interest is a cube shown in Figure RGB and CMY Color Models (RGB values are normalized to 0..1), in which RGB values are at three corners; cyan, magenta, and yellow are the three other corners, black is at their origin; and white is at the corner farthest from the origin.

The gray scale extends from black to white along the diagonal joining these two points. The colors are the points on or inside the cube, defined by vectors extending from the origin.

Thus, images in the RGB color model consist of three independent image planes, one for each primary color.

As a rule, the Intel IPP color conversion functions operate with non-linear gamma-corrected images R'G'B'.

The importance of the RGB color model is that it relates very closely to the way that the human eye perceives color. RGB is a basic color model for computer graphics because color displays use red, green, and blue to create the desired color. Therefore, the choice of the RGB color space simplifies the architecture and design of the system. Besides, a system that is designed using the RGB color space can take advantage of a large number of existing software routines, because this color space has been around for a number of years.

RGB and CMY Color Models



However, RGB is not very efficient when dealing with real-world images. To generate any color within the RGB color cube, all three RGB components need to be of equal pixel depth and display resolution. Also, any modification of the image requires modification of all three planes.

RGB to Grayscale Conversion

Conversion from RGB image to gray scale (see figure Converting an RGB Image to Gray Scale) uses the following basic equation to compute luma from nonlinear gamma-corrected red, green, and blue values: Y' = 0.299 * R' + 0.587 * G' + 0.114 * B'. Note that the transform coefficients conform to the standard for the NTSC red, green, and blue CRT phosphors.

Converting an RGB Image to Gray Scale



Parent topic: Image Processing
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