Visible to Intel only — GUID: GUID-3BD0C3CF-FFF8-4A0D-8904-C0F94F6B12EC
Visible to Intel only — GUID: GUID-3BD0C3CF-FFF8-4A0D-8904-C0F94F6B12EC
NormRel_L1
Computes the relative error for the L1 norm of differences between pixel values of two images.
Syntax
Case 1: Operation on one-channel integer data
IppStatus ippiNormRel_L1_<mod>(const Ipp<datatype>* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f* pValue);
Supported values for mod:
8u_C1R |
16u_C1R |
16s_C1R |
Case 2: Operation on one-channel floating-point data
IppStatus ippiNormRel_L1_32f_C1R(const Ipp32f* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f* pValue, IppHintAlgorithm hint);
Case 3: Masked operation on one-channel data
IppStatus ippiNormRel_L1_<mod>(const Ipp<datatype>* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, const Ipp8u* pMask, int maskStep, IppiSize roiSize, Ipp64f* pNorm);
Supported values for mod:
8u_C1MR |
16u_C1MR |
32f_C1MR |
Case 4: Operation on multi-channel integer data
IppStatus ippiNormRel_L1_<mod>(const Ipp<datatype>* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f value[3]);
Supported values for mod:
8u_C3R |
16u_C3R |
16s_C3R |
IppStatus ippiNormRel_L1_<mod>(const Ipp<datatype>* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f value[4]);
Supported values for mod:
8u_C4R |
16u_C4R |
16s_C4R |
Case 5: Operation on multi-channel floating-point data
IppStatus ippiNormRel_L1_32f_C3R(const Ipp32f* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f value[3], IppHintAlgorithm hint);
IppStatus ippiNormRel_L1_32f_C4R(const Ipp32f* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, IppiSize roiSize, Ipp64f value[4], IppHintAlgorithm hint);
Case 6: Masked operation on multi-channel data
IppStatus ippiNormRel_L1_<mod>(const Ipp<datatype>* pSrc1, int src1Step, const Ipp<datatype>* pSrc2, int src2Step, const Ipp8u* pMask, int maskStep, IppiSize roiSize, int coi, Ipp64f* pNorm);
Supported values for mod:
8u_C3CMR |
16u_C3CMR |
32f_C3CMR |
Include Files
ippcv.h
ippi.h
Domain Dependencies
Flavors declared in ippcv.h:
Headers: ippcore.h, ippvm.h, ipps.h, ippi.h
Libraries: ippcore.lib, ippvm.lib, ipps.lib, ippi.lib
Flavors declared in ippi.h:
Headers: ippcore.h, ippvm.h, ipps.h
Libraries: ippcore.lib, ippvm.lib, ipps.lib
Parameters
pSrc1, pSrc2 |
Pointers to the source images ROI. |
src1Step, src2Step |
Distance in bytes between starts of consecutive lines in the source images. |
pMask |
Pointer to the mask image. |
maskStep |
Distance in bytes between starts of consecutive lines in the mask image. |
roiSize |
Size of the source ROI in pixels. |
coi |
Channel of interest (for color images only); can be 1, 2, or 3. |
pValue |
Pointer to the computed relative error value. |
value |
An array containing the computed relative error values for separate channels in case of multi-channel data. |
pNorm |
Pointer to the computed relative norm value in the mask mode. |
hint |
Option to select the algorithmic implementation of the function. |
Description
The flavors of the function ippiNormRel_L1 that perform masked operation are declared in the ippcv.h file. All other function flavors are declared in the ippi.h file. The function operates with ROI (see Regions of Interest in Intel IPP). It computes the L1- norm of differences between pixel values of two source buffers pSrc1 and pSrc2. This norm is defined as the sum of absolute pixel values in an image. The output relative error pValue (pNorm in the mask mode) is then formed by dividing the computed norm of differences by the L1- norm of the second source image buffer pSrc2. Computation algorithm is specified by the hint argument (see Table “Hint Arguments for Image Moment Functions”).In the mask mode, the computation is done over pixels selected by nonzero mask values.
For non-masked operations on multi-channel images (Cases 4, 5), the relative norm is computed separately for each pair of corresponding channels and stored in the array value.
In the mask multi-channel mode (Case 6), the relative norm is computed for a single channel of interest specified by coi.
Return Values
ippStsNoErr |
Indicates no error. Any other value indicates an error or a warning. |
ippStsNullPtrErr |
Indicates an error when any of the specified pointers is NULL. |
ippStsSizeErr |
Indicates an error condition if roiSize has a field with zero or negative value. |
ippStsStepErr |
Indicates an error condition in mask mode, if src1Step, src2Step, or maskStep is less than roiSize.width * <pixelSize>. |
ippStsNotEvenStepErr |
Indicates an error condition in mask mode if steps for floating-point images cannot be divided by 4. |
ippStsCOIErr |
Indicates an error when coi is not 1, 2, or 3. |
ippStsDivByZero |
Indicates a warning when the L1 norm of pSrc2 has a zero value. |
Example
The code example below shows how to use the function ippiNormRel_L1_8u_C1R.
void func_normrel_l1() { Ipp8u pSrc1[8*4]; Ipp8u pSrc2[8*4]; Ipp64f Value; int src1Step = 8; int src2Step = 8; IppiSize roi = {8,4}; IppiSize roiSize = {5,4}; ippiSet_8u_C1R(1, pSrc1, src1Step, roi); ippiSet_8u_C1R(2, pSrc2, src2Step, roi); ippiNormRel_L1_8u_C1R( pSrc1, src1Step, pSrc2, src2Step, roiSize, &Value); }
Output:
-> 0.5