/// <summary>
/// Swap color channels
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="aDstOrder">Integer array describing how channel values are permutated. <para/>The n-th entry of the array
/// contains the number of the channel that is stored in the n-th channel of the output image. <para/>E.g.
/// Given an RGB image, aDstOrder = [2,1,0] converts this to BGR channel order.</param>
public void SwapChannels(NPPImage_16sC3 dest, int[] aDstOrder)
{
status = NPPNativeMethods.NPPi.SwapChannel.nppiSwapChannels_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, aDstOrder);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSwapChannels_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="Kernel">Pointer to an array of nFilterTaps kernel coefficients which sum to 1.0F, where nFilterTaps = 2 * ((int)((float)ceil(radius) + 0.5F) ) + 1.</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterGaussBorder(NPPImage_16sC3 dst, CudaDeviceVariable<float> Kernel, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FilterGaussBorder.nppiFilterGaussAdvancedBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, Kernel.Size, Kernel.DevicePointer, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterGaussAdvancedBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Image square root, scale by 2^(-nScaleFactor), then clamp to saturated value.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="nScaleFactor">scaling factor</param>
public void Sqrt(NPPImage_16sC3 dest, int nScaleFactor)
{
status = NPPNativeMethods.NPPi.Sqrt.nppiSqrt_16s_C3RSfs(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, nScaleFactor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSqrt_16s_C3RSfs", status));
NPPException.CheckNppStatus(status, this);
}
//New in Cuda 7.0
#region FilterColumnBorder
/// <summary>
/// General purpose 1D convolution column filter with border control.<para/>
/// Pixels under the mask are multiplied by the respective weights in the mask
/// and the results are summed. Before writing the result pixel the sum is scaled
/// back via division by nDivisor. If any portion of the mask overlaps the source
/// image boundary the requested border type operation is applied to all mask pixels
/// which fall outside of the source image.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="Kernel">Pointer to the start address of the kernel coefficient array. Coeffcients are expected to be stored in reverse order.</param>
/// <param name="nAnchor">X offset of the kernel origin frame of reference w.r.t the source pixel.</param>
/// <param name="nDivisor">The factor by which the convolved summation from the Filter operation should be divided. If equal to the sum of coefficients, this will keep the maximum result value within full scale.</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterColumnBorder(NPPImage_16sC3 dest, CudaDeviceVariable<int> Kernel, int nAnchor, int nDivisor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.LinearFilter1D.nppiFilterColumnBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, Kernel.DevicePointer, Kernel.Size, nAnchor, nDivisor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterColumnBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Sharpen filter.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterSharpenBorder(NPPImage_16sC3 dst, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterSharpenBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterSharpenBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Result pixel value is the median of pixel values under the rectangular mask region.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="oMaskSize">Width and Height of the neighborhood region for the local Median operation.</param>
/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference relative to the source pixel.</param>
/// <param name="buffer">Pointer to the user-allocated scratch buffer required for the Median operation.</param>
public void FilterMedian(NPPImage_16sC3 dst, NppiSize oMaskSize, NppiPoint oAnchor, CudaDeviceVariable<byte> buffer)
{
int bufferSize = FilterMedianGetBufferHostSize(oMaskSize);
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.ImageMedianFilter.nppiFilterMedian_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, oMaskSize, oAnchor, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMedian_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image average relative error.
/// </summary>
/// <param name="src2">2nd source image</param>
/// <param name="pError">Pointer to the computed error.</param>
/// <param name="buffer">Pointer to the user-allocated scratch buffer required for the AverageRelativeError operation.</param>
public void AverageRelativeError(NPPImage_16sC3 src2, CudaDeviceVariable<double> pError, CudaDeviceVariable<byte> buffer)
{
int bufferSize = AverageRelativeErrorGetBufferHostSize();
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.AverageRelativeError.nppiAverageRelativeError_16s_C3R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiAverageRelativeError_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Three-channel 8-bit unsigned planar to packed image copy.
/// </summary>
/// <param name="src0">Source image channel 0</param>
/// <param name="src1">Source image channel 1</param>
/// <param name="src2">Source image channel 2</param>
/// <param name="dest">Destination image</param>
public static void Copy(NPPImage_16sC1 src0, NPPImage_16sC1 src1, NPPImage_16sC1 src2, NPPImage_16sC3 dest)
{
CUdeviceptr[] array = new CUdeviceptr[] { src0.DevicePointerRoi, src1.DevicePointerRoi, src2.DevicePointerRoi };
NppStatus status = NPPNativeMethods.NPPi.MemCopy.nppiCopy_16s_P3C3R(array, src0.Pitch, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopy_16s_P3C3R", status));
NPPException.CheckNppStatus(status, null);
}
/// <summary>
/// Laplace filter.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="eMaskSize">Enumeration value specifying the mask size.</param>
public void FilterLaplace(NPPImage_16sC3 dst, MaskSize eMaskSize)
{
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterLaplace_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, eMaskSize);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterLaplace_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Result pixel value is the maximum of pixel values under the rectangular mask region.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="oMaskSize">Width and Height of the neighborhood region for the local Avg operation.</param>
/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference w.r.t the source pixel.</param>
public void FilterMax(NPPImage_16sC3 dest, NppiSize oMaskSize, NppiPoint oAnchor)
{
status = NPPNativeMethods.NPPi.RankFilters.nppiFilterMax_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, oMaskSize, oAnchor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMax_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// convolution filter.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="pKernel">Pointer to the start address of the kernel coefficient array.<para/>
/// Coefficients are expected to be stored in reverse order.</param>
/// <param name="oKernelSize">Width and Height of the rectangular kernel.</param>
/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference</param>
public void Filter(NPPImage_16sC3 dst, CudaDeviceVariable<float> pKernel, NppiSize oKernelSize, NppiPoint oAnchor)
{
status = NPPNativeMethods.NPPi.Convolution.nppiFilter32f_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, pKernel.DevicePointer, oKernelSize, oAnchor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilter32f_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// linearly interpolated source image subpixel coordinate color copy.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="nDx">Fractional part of source image X coordinate.</param>
/// <param name="nDy">Fractional part of source image Y coordinate.</param>
public void CopySubpix(NPPImage_16sC3 dst, float nDx, float nDy)
{
status = NPPNativeMethods.NPPi.CopySubpix.nppiCopySubpix_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, nDx, nDy);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopySubpix_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image copy with the borders wrapped by replication of source image pixel colors.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="nTopBorderHeight">Height (in pixels) of the top border. The height of the border at the bottom of
/// the destination ROI is implicitly defined by the size of the source ROI: nBottomBorderHeight =
/// oDstSizeROI.height - nTopBorderHeight - oSrcSizeROI.height.</param>
/// <param name="nLeftBorderWidth">Width (in pixels) of the left border. The width of the border at the right side of
/// the destination ROI is implicitly defined by the size of the source ROI: nRightBorderWidth =
/// oDstSizeROI.width - nLeftBorderWidth - oSrcSizeROI.width.</param>
public void CopyWrapBorder(NPPImage_16sC3 dst, int nTopBorderHeight, int nLeftBorderWidth)
{
status = NPPNativeMethods.NPPi.CopyWrapBorder.nppiCopyWrapBorder_16s_C3R(_devPtrRoi, _pitch, _sizeRoi, dst.DevicePointerRoi, dst.Pitch, dst.SizeRoi, nTopBorderHeight, nLeftBorderWidth);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopyWrapBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// An input color twist matrix with floating-point pixel values is applied
/// within ROI.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="twistMatrix">The color twist matrix with floating-point pixel values [3,4].</param>
public void ColorTwist(NPPImage_16sC3 dest, float[,] twistMatrix)
{
status = NPPNativeMethods.NPPi.ColorTwist.nppiColorTwist32f_16s_C3R(_devPtr, _pitch, dest.DevicePointer, dest.Pitch, _sizeRoi, twistMatrix);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiColorTwist32f_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image remap.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="pXMap">Device memory pointer to 2D image array of X coordinate values to be used when sampling source image. </param>
/// <param name="pYMap">Device memory pointer to 2D image array of Y coordinate values to be used when sampling source image. </param>
/// <param name="eInterpolation">The type of eInterpolation to perform resampling.</param>
public void Remap(NPPImage_16sC3 dst, NPPImage_32fC1 pXMap, NPPImage_32fC1 pYMap, InterpolationMode eInterpolation)
{
NppiRect srcRect = new NppiRect(_pointRoi, _sizeRoi);
status = NPPNativeMethods.NPPi.Remap.nppiRemap_16s_C3R(_devPtr, _sizeRoi, _pitch, srcRect, pXMap.DevicePointerRoi, pXMap.Pitch, pYMap.DevicePointerRoi, pYMap.Pitch, dst.DevicePointerRoi, dst.Pitch, dst.SizeRoi, eInterpolation);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiRemap_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Image copy.
/// </summary>
/// <param name="dst">Destination image</param>
/// <param name="channelSrc">Channel number. This number is added to the src pointer</param>
/// <param name="channelDst">Channel number. This number is added to the dst pointer</param>
public void Copy(NPPImage_16sC3 dst, int channelSrc, int channelDst)
{
if (channelSrc < 0 | channelSrc >= _channels) throw new ArgumentOutOfRangeException("channelSrc", "channelSrc must be in range [0..2].");
if (channelDst < 0 | channelDst >= dst.Channels) throw new ArgumentOutOfRangeException("channelDst", "channelDst must be in range [0..2].");
status = NPPNativeMethods.NPPi.MemCopy.nppiCopy_16s_C3CR(_devPtrRoi + channelSrc * _typeSize, _pitch, dst.DevicePointerRoi + channelDst * _typeSize, dst.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopy_16s_C3CR", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image bit shift by constant (right).
/// </summary>
/// <param name="nConstant">Constant (Array length = 3)</param>
/// <param name="dest">Destination image</param>
public void RShiftC(uint[] nConstant, NPPImage_16sC3 dest)
{
status = NPPNativeMethods.NPPi.RightShiftConst.nppiRShiftC_16s_C3R(_devPtrRoi, _pitch, nConstant, dest.DevicePointerRoi, dest.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiRShiftC_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image NormRel_L1.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="pNormRel">Pointer to the computed relative error for the infinity norm of two images. (3 * sizeof(double))</param>
/// <param name="buffer">Allocated device memory with size of at <see cref="NormRelL1GetBufferHostSize()"/></param>
public void NormRel_L1(NPPImage_16sC3 tpl, CudaDeviceVariable<double> pNormRel, CudaDeviceVariable<byte> buffer)
{
int bufferSize = NormRelL1GetBufferHostSize();
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L1_16s_C3R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L1_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image maximum relative error. User buffer is internally allocated and freed.
/// </summary>
/// <param name="src2">2nd source image</param>
/// <param name="pError">Pointer to the computed error.</param>
public void MaximumRelativeError(NPPImage_16sC3 src2, CudaDeviceVariable<double> pError)
{
int bufferSize = MaximumRelativeErrorGetBufferHostSize();
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.MaximumRelativeError.nppiMaximumRelativeError_16s_C3R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiMaximumRelativeError_16s_C3R", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Masked Operation 8-bit unsigned image copy.
/// </summary>
/// <param name="dst">Destination image</param>
/// <param name="mask">Mask image</param>
public void Copy(NPPImage_16sC3 dst, NPPImage_8uC1 mask)
{
status = NPPNativeMethods.NPPi.MemCopy.nppiCopy_16s_C3MR(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, mask.DevicePointerRoi, mask.Pitch);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopy_16s_C3MR", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Three channel 16-bit signed convolution filter with border control.<para/>
/// General purpose 2D convolution filter using floating-point weights with border control.<para/>
/// Pixels under the mask are multiplied by the respective weights in the mask
/// and the results are summed. Before writing the result pixel the sum is scaled
/// back via division by nDivisor. If any portion of the mask overlaps the source
/// image boundary the requested border type operation is applied to all mask pixels
/// which fall outside of the source image. <para/>
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="pKernel">Pointer to the start address of the kernel coefficient array. Coeffcients are expected to be stored in reverse order</param>
/// <param name="nKernelSize">Width and Height of the rectangular kernel.</param>
/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference relative to the source pixel.</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterBorder(NPPImage_16sC3 dest, CudaDeviceVariable<float> pKernel, NppiSize nKernelSize, NppiPoint oAnchor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FilterBorder32f.nppiFilterBorder32f_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, pKernel.DevicePointer, nKernelSize, oAnchor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterBorder32f_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image NormRel_L2. Buffer is internally allocated and freed.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="pNormRel">Pointer to the computed relative error for the infinity norm of two images. (3 * sizeof(double))</param>
public void NormRel_L2(NPPImage_16sC3 tpl, CudaDeviceVariable<double> pNormRel)
{
int bufferSize = NormRelL2GetBufferHostSize();
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L2_16s_C3R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L2_16s_C3R", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Computes the average pixel values of the pixels under a rectangular mask.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="oMaskSize">Width and Height of the neighborhood region for the local Avg operation.</param>
/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference w.r.t the source pixel.</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterBoxBorder(NPPImage_16sC3 dest, NppiSize oMaskSize, NppiPoint oAnchor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.LinearFixedFilters2D.nppiFilterBoxBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, oMaskSize, oAnchor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterBoxBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image MaxEvery
/// </summary>
/// <param name="src2">Source-Image</param>
public void MaxEvery(NPPImage_16sC3 src2)
{
status = NPPNativeMethods.NPPi.MinMaxEvery.nppiMaxEvery_16s_C3IR(src2.DevicePointerRoi, src2.Pitch, _devPtrRoi, _pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiMaxEvery_16s_C3IR", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Filters the image using a unsharp-mask sharpening filter kernel with border control.<para/>
/// The algorithm involves the following steps:<para/>
/// Smooth the original image with a Gaussian filter, with the width controlled by the nRadius.<para/>
/// Subtract the smoothed image from the original to create a high-pass filtered image.<para/>
/// Apply any clipping needed on the high-pass image, as controlled by the nThreshold.<para/>
/// Add a certain percentage of the high-pass filtered image to the original image,
/// with the percentage controlled by the nWeight.
/// In pseudocode this algorithm can be written as:<para/>
/// HighPass = Image - Gaussian(Image)<para/>
/// Result = Image + nWeight * HighPass * ( |HighPass| >= nThreshold ) <para/>
/// where nWeight is the amount, nThreshold is the threshold, and >= indicates a Boolean operation, 1 if true, or 0 otherwise.
/// <para/>
/// If any portion of the mask overlaps the source image boundary, the requested border type
/// operation is applied to all mask pixels which fall outside of the source image.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="nRadius">The radius of the Gaussian filter, in pixles, not counting the center pixel.</param>
/// <param name="nSigma">The standard deviation of the Gaussian filter, in pixel.</param>
/// <param name="nWeight">The percentage of the difference between the original and the high pass image that is added back into the original.</param>
/// <param name="nThreshold">The threshold needed to apply the difference amount.</param>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
/// <param name="buffer">Pointer to the user-allocated device scratch buffer required for the unsharp operation.</param>
public void FilterUnsharpBorder(NPPImage_16sC3 dst, float nRadius, float nSigma, float nWeight, float nThreshold, NppiBorderType eBorderType, CudaDeviceVariable<byte> buffer)
{
if (buffer.Size < FilterUnsharpGetBufferSize(nRadius, nSigma))
throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterUnsharpBorder_16s_C3R(_devPtr, _pitch, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, nRadius, nSigma, nWeight, nThreshold, eBorderType, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterUnsharpBorder_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Mirror image.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="flip">Specifies the axis about which the image is to be mirrored.</param>
public void Mirror(NPPImage_16sC3 dest, NppiAxis flip)
{
status = NPPNativeMethods.NPPi.GeometricTransforms.nppiMirror_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, flip);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiMirror_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// In place image division, scale by 2^(-nScaleFactor), then clamp to saturated value.
/// </summary>
/// <param name="src2">2nd source image</param>
/// <param name="rndMode">Result Rounding mode to be used</param>
/// <param name="nScaleFactor">scaling factor</param>
public void Div(NPPImage_16sC3 src2, NppRoundMode rndMode, int nScaleFactor)
{
status = NPPNativeMethods.NPPi.DivRound.nppiDiv_Round_16s_C3IRSfs(src2.DevicePointerRoi, src2.Pitch, _devPtrRoi, _pitch, _sizeRoi, rndMode, nScaleFactor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiDiv_Round_16s_C3IRSfs", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image resize.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="nXFactor">Factor by which x dimension is changed. </param>
/// <param name="nYFactor">Factor by which y dimension is changed. </param>
/// <param name="nXShift">Source pixel shift in x-direction.</param>
/// <param name="nYShift">Source pixel shift in y-direction.</param>
/// <param name="eInterpolation">The type of eInterpolation to perform resampling.</param>
public void ResizeSqrPixel(NPPImage_16sC3 dst, double nXFactor, double nYFactor, double nXShift, double nYShift, InterpolationMode eInterpolation)
{
NppiRect srcRect = new NppiRect(_pointRoi, _sizeRoi);
NppiRect dstRect = new NppiRect(dst.PointRoi, dst.SizeRoi);
status = NPPNativeMethods.NPPi.ResizeSqrPixel.nppiResizeSqrPixel_16s_C3R(_devPtr, _sizeRoi, _pitch, srcRect, dst.DevicePointer, dst.Pitch, dstRect, nXFactor, nYFactor, nXShift, nYShift, eInterpolation);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiResizeSqrPixel_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Image absolute value.
/// </summary>
/// <param name="dest">Destination image</param>
public void Abs(NPPImage_16sC3 dest)
{
status = NPPNativeMethods.NPPi.Abs.nppiAbs_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiAbs_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// cubic interpolated look-up-table color conversion.
/// The LUT is derived from a set of user defined mapping points through cubic interpolation.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="pValues">Host pointer to an array of 3 device memory pointers, one per color CHANNEL, pointing to user defined OUTPUT values.</param>
/// <param name="pLevels">Host pointer to an array of 3 device memory pointers, one per color CHANNEL, pointing to user defined INPUT values. pLevels.Size gives nLevels.</param>
public void LUTCubic(NPPImage_16sC3 dst, CudaDeviceVariable<int>[] pValues, CudaDeviceVariable<int>[] pLevels)
{
CUdeviceptr[] ptrsV = new CUdeviceptr[] { pValues[0].DevicePointer, pValues[1].DevicePointer, pValues[2].DevicePointer };
CUdeviceptr[] ptrsL = new CUdeviceptr[] { pLevels[0].DevicePointer, pLevels[1].DevicePointer, pLevels[2].DevicePointer };
int[] size = new int[] { pLevels[0].Size, pLevels[1].Size, pLevels[2].Size };
status = NPPNativeMethods.NPPi.ColorLUTCubic.nppiLUT_Cubic_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, ptrsV, ptrsL, size);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiLUT_Cubic_16s_C3R", status));
NPPException.CheckNppStatus(status, this);
}
