/// <summary>
/// cubic interpolated look-up-table color conversion.
/// The LUT is derived from a set of user defined mapping points through cubic interpolation. Not affecting Alpha.
/// </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 LUTCubicA(NPPImage_8uC4 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_8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, ptrsV, ptrsL, size);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiLUT_Cubic_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// In place image subtraction, scale by 2^(-nScaleFactor), then clamp to saturated value. Unchanged Alpha.
/// </summary>
/// <param name="src2">2nd source image</param>
/// <param name="nScaleFactor">scaling factor</param>
public void SubA(NPPImage_8uC4 src2, int nScaleFactor)
{
status = NPPNativeMethods.NPPi.Sub.nppiSub_8u_AC4IRSfs(src2.DevicePointerRoi, src2.Pitch, _devPtrRoi, _pitch, _sizeRoi, nScaleFactor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSub_8u_AC4IRSfs", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image conversion.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="hint">algorithm performance or accuracy selector, currently ignored</param>
public void Scale(NPPImage_8uC4 dst, NppHintAlgorithm hint)
{
NppiRect srcRect = new NppiRect(_pointRoi, _sizeRoi);
status = NPPNativeMethods.NPPi.Scale.nppiScale_32s8u_C4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, hint);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiScale_32s8u_C4R", 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 FilterSharpenBorderA(NPPImage_8uC4 dst, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterSharpenBorder_8u_AC4R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterSharpenBorder_8u_AC4R", 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>
public void FilterGauss(NPPImage_8uC4 dst, CudaDeviceVariable<float> Kernel)
{
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterGaussAdvanced_8u_C4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, Kernel.Size, Kernel.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterGaussAdvanced_8u_C4R", 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_8uC4 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_8u_C4R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiAverageRelativeError_8u_C4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Image logical Not.
/// </summary>
/// <param name="dest">Destination image</param>
public void Not(NPPImage_8uC4 dest)
{
status = NPPNativeMethods.NPPi.Not.nppiNot_8u_C4R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNot_8u_C4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// CrossCorrValid_NormLevel. Not affecting Alpha.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="dst">Destination image</param>
/// <param name="buffer">Allocated device memory with size of at <see cref="ValidNormLevelAGetBufferHostSize()"/></param>
public void CrossCorrValid_NormLevelA(NPPImage_8uC4 tpl, NPPImage_32fC4 dst, CudaDeviceVariable<byte> buffer)
{
int bufferSize = ValidNormLevelAGetBufferHostSize();
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.ImageProximity.nppiCrossCorrValid_NormLevel_8u32f_AC4R(_devPtrRoi, _pitch, _sizeRoi, tpl.DevicePointerRoi, tpl.Pitch, tpl.SizeRoi, dst.DevicePointer, dst.Pitch, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCrossCorrValid_NormLevel_8u32f_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// CrossCorrValid_NormLevel. Buffer is internally allocated and freed. Not affecting Alpha.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="dst">Destination image</param>
/// <param name="nScaleFactor">Integer Result Scaling.</param>
public void CrossCorrValid_NormLevelA(NPPImage_8uC4 tpl, NPPImage_8uC4 dst, int nScaleFactor)
{
int bufferSize = ValidNormLevelScaledAGetBufferHostSize();
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.ImageProximity.nppiCrossCorrValid_NormLevel_8u_AC4RSfs(_devPtrRoi, _pitch, _sizeRoi, tpl.DevicePointerRoi, tpl.Pitch, tpl.SizeRoi, dst.DevicePointer, dst.Pitch, nScaleFactor, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCrossCorrValid_NormLevel_8u_AC4RSfs", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image NormRel_L1. Not affecting Alpha.
/// </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="NormRelL1AGetBufferHostSize()"/></param>
public void NormRel_L1A(NPPImage_8uC4 tpl, CudaDeviceVariable<double> pNormRel, CudaDeviceVariable<byte> buffer)
{
int bufferSize = NormRelL1AGetBufferHostSize();
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L1_8u_AC4R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L1_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image NormRel_L2. Buffer is internally allocated and freed. Not affecting Alpha.
/// </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_L2A(NPPImage_8uC4 tpl, CudaDeviceVariable<double> pNormRel)
{
int bufferSize = NormRelL2AGetBufferHostSize();
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L2_8u_AC4R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L2_8u_AC4R", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// linearly interpolated source image subpixel coordinate color copy. Not affecting Alpha.
/// </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 CopySubpixA(NPPImage_8uC4 dst, float nDx, float nDy)
{
status = NPPNativeMethods.NPPi.CopySubpix.nppiCopySubpix_8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, nDx, nDy);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopySubpix_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image copy with the borders wrapped by replication of source image pixel colors. Not affecting Alpha.
/// </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 CopyWrapBorderA(NPPImage_8uC4 dst, int nTopBorderHeight, int nLeftBorderWidth)
{
status = NPPNativeMethods.NPPi.CopyWrapBorder.nppiCopyWrapBorder_8u_AC4R(_devPtrRoi, _pitch, _sizeRoi, dst.DevicePointerRoi, dst.Pitch, dst.SizeRoi, nTopBorderHeight, nLeftBorderWidth);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopyWrapBorder_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// range restricted palette look-up-table color conversion.
/// The LUT is derived from a set of user defined mapping points in a palette and
/// source pixels are then processed using a restricted bit range when looking up palette values. Not affecting Alpha.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="pTable">Host pointer to an array of 3 device memory pointers, one per color CHANNEL, pointing to user defined OUTPUT palette values.</param>
/// <param name="nBitSize">Number of least significant bits (must be > 0 and <= 8) of each source pixel value to use as index into palette table during conversion.</param>
public void LUTPaletteA(NPPImage_8uC4 dst, CudaDeviceVariable<byte>[] pTable, int nBitSize)
{
CUdeviceptr[] ptrsT = new CUdeviceptr[] { pTable[0].DevicePointer, pTable[1].DevicePointer, pTable[2].DevicePointer };
status = NPPNativeMethods.NPPi.ColorLUTPalette.nppiLUTPalette_8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, ptrsT, nBitSize);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiLUTPalette_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// In place image logical Xor. Unchanged Alpha.
/// </summary>
/// <param name="src2">2nd source image</param>
public void XorA(NPPImage_8uC4 src2)
{
status = NPPNativeMethods.NPPi.Xor.nppiXor_8u_AC4IR(src2.DevicePointerRoi, src2.Pitch, _devPtrRoi, _pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiXor_8u_AC4IR", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image SqrDistanceValid_Norm. Not affecting Alpha.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="dst">Destination-Image</param>
public void SqrDistanceValid_NormA(NPPImage_8uC4 tpl, NPPImage_32fC4 dst)
{
status = NPPNativeMethods.NPPi.ImageProximity.nppiSqrDistanceValid_Norm_8u32f_AC4R(_devPtrRoi, _pitch, _sizeRoi, tpl.DevicePointerRoi, tpl.Pitch, tpl.SizeRoi, dst.DevicePointerRoi, dst.Pitch);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSqrDistanceValid_Norm_8u32f_AC4R", 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_8uC4 src2, CudaDeviceVariable<double> pError)
{
int bufferSize = MaximumRelativeErrorGetBufferHostSize();
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.MaximumRelativeError.nppiMaximumRelativeError_8u_C4R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiMaximumRelativeError_8u_C4R", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// image CrossCorrValid_Norm. Not affecting Alpha.
/// </summary>
/// <param name="tpl">template image.</param>
/// <param name="dst">Destination-Image</param>
/// <param name="nScaleFactor">Integer Result Scaling.</param>
public void CrossCorrValid_NormA(NPPImage_8uC4 tpl, NPPImage_8uC4 dst, int nScaleFactor)
{
status = NPPNativeMethods.NPPi.ImageProximity.nppiCrossCorrValid_Norm_8u_AC4RSfs(_devPtrRoi, _pitch, _sizeRoi, tpl.DevicePointerRoi, tpl.Pitch, tpl.SizeRoi, dst.DevicePointerRoi, dst.Pitch, nScaleFactor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCrossCorrValid_Norm_8u_AC4RSfs", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// General purpose 1D convolution row filter with border control.<para/>
/// Pixels under the mask are multiplied by the respective weights in the mask
/// and the results are summed. 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="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterRowBorder(NPPImage_8uC4 dest, CudaDeviceVariable<float> Kernel, int nAnchor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.LinearFilter1D.nppiFilterRowBorder32f_8u_C4R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, Kernel.DevicePointer, Kernel.Size, nAnchor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterRowBorder32f_8u_C4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Four channel 8-bit unsigned 3D trilinear interpolated look-up-table color conversion, not affecting alpha.<para/>
/// Alpha channel is the last channel and is not processed.<para/>
/// The LUT is derived from a set of user defined mapping points through trilinear interpolation.
/// </summary>
/// <param name="dst">Destination-Image</param>
/// <param name="pValues">Device pointer to aLevels[2] number of contiguous 2D x,y planes of 4-byte packed RGBX values
/// containing the user defined base OUTPUT values at that x,y, and z (R,G,B) level location. Each level must contain x * y 4-byte
/// packed pixel values (4th byte is used for alignement only and is ignored) in row (x) order.</param>
/// <param name="pLevels0">array, cube edge 0, with user defined INPUT level values.</param>
/// <param name="pLevels1">array, cube edge 1, with user defined INPUT level values.</param>
/// <param name="pLevels2">array, cube edge 2, with user defined INPUT level values.</param>
/// <param name="aLevels">Host pointer to an array of 3 user defined number of input/output mapping points, one per 3D cube edge.
/// aLevels[0] represents the number of x axis levels (Red), aLevels[1] represents the number of y axis levels (Green),
/// and aLevels[2] represets the number of z axis levels (Blue).</param>
public void LUTTrilinearA(NPPImage_8uC4 dst, CudaDeviceVariable<int> pValues, int[] pLevels0, int[] pLevels1, int[] pLevels2, int[] aLevels)
{
GCHandle h0 = new GCHandle(), h1 = new GCHandle(), h2 = new GCHandle();
try
{
h0 = GCHandle.Alloc(pLevels0, GCHandleType.Pinned);
h1 = GCHandle.Alloc(pLevels1, GCHandleType.Pinned);
h2 = GCHandle.Alloc(pLevels2, GCHandleType.Pinned);
IntPtr[] ptrsLevels = new IntPtr[3];
ptrsLevels[0] = h0.AddrOfPinnedObject();
ptrsLevels[1] = h1.AddrOfPinnedObject();
ptrsLevels[2] = h2.AddrOfPinnedObject();
status = NPPNativeMethods.NPPi.ColorLUTTrilinear.nppiLUT_Trilinear_8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, pValues.DevicePointer, ptrsLevels, aLevels);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiLUT_Trilinear_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
catch (Exception)
{
throw;
}
finally
{
h0.Free();
h1.Free();
h2.Free();
}
}
/// <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>
/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
public void FilterMaxBorder(NPPImage_8uC4 dest, NppiSize oMaskSize, NppiPoint oAnchor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.RankFilters.nppiFilterMaxBorder_8u_C4R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, oMaskSize, oAnchor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMaxBorder_8u_C4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Image logical Xor with constant.
/// </summary>
/// <param name="nConstant">Value (Array length = 4)</param>
/// <param name="dest">Destination image</param>
public void Xor(byte[] nConstant, NPPImage_8uC4 dest)
{
status = NPPNativeMethods.NPPi.XorConst.nppiXorC_8u_C4R(_devPtrRoi, _pitch, nConstant, dest.DevicePointerRoi, dest.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiAdd_8u_C4RSfs", 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 FilterUnsharpBorderA(NPPImage_8uC4 dst, float nRadius, float nSigma, float nWeight, float nThreshold, NppiBorderType eBorderType, CudaDeviceVariable<byte> buffer)
{
if (buffer.Size < FilterUnsharpGetBufferSizeA(nRadius, nSigma))
throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterUnsharpBorder_8u_AC4R(_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_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Four channel 8-bit unsigned convolution filter with border control, ignoring alpha channel.<para/>
/// General purpose 2D convolution 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="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="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 FilterBorderA(NPPImage_8uC4 dest, CudaDeviceVariable<int> pKernel, NppiSize nKernelSize, NppiPoint oAnchor, int nDivisor, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FilterBorder.nppiFilterBorder_8u_AC4R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, pKernel.DevicePointer, nKernelSize, oAnchor, nDivisor, eBorderType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterBorder_8u_AC4R", 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 FilterGaussBorderA(NPPImage_8uC4 dst, CudaDeviceVariable<float> Kernel, NppiBorderType eBorderType)
{
status = NPPNativeMethods.NPPi.FilterGaussBorder.nppiFilterGaussAdvancedBorder_8u_AC4R(_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_8u_AC4R", 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>
public void FilterMedian(NPPImage_8uC4 dst, NppiSize oMaskSize, NppiPoint oAnchor)
{
int bufferSize = FilterMedianGetBufferHostSize(oMaskSize);
CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
status = NPPNativeMethods.NPPi.ImageMedianFilter.nppiFilterMedian_8u_C4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, oMaskSize, oAnchor, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMedian_8u_C4R", status));
buffer.Dispose();
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Subtract constant to image, scale by 2^(-nScaleFactor), then clamp to saturated value. Unchanged Alpha.
/// </summary>
/// <param name="nConstant">Value to subtract</param>
/// <param name="dest">Destination image</param>
/// <param name="nScaleFactor">scaling factor</param>
public void SubA(byte[] nConstant, NPPImage_8uC4 dest, int nScaleFactor)
{
status = NPPNativeMethods.NPPi.SubConst.nppiSubC_8u_AC4RSfs(_devPtrRoi, _pitch, nConstant, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, nScaleFactor);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSubC_8u_AC4RSfs", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Result pixel value is the median of pixel values under the rectangular mask region, ignoring alpha channel.
/// </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 FilterMedianA(NPPImage_8uC4 dst, NppiSize oMaskSize, NppiPoint oAnchor, CudaDeviceVariable<byte> buffer)
{
int bufferSize = FilterMedianGetBufferHostSizeA(oMaskSize);
if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");
status = NPPNativeMethods.NPPi.ImageMedianFilter.nppiFilterMedian_8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, oMaskSize, oAnchor, buffer.DevicePointer);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMedian_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// 32-bit signed to 8-bit unsigned conversion. Not affecting Alpha
/// </summary>
/// <param name="dst">Destination image</param>
public void ConvertA(NPPImage_8uC4 dst)
{
status = NPPNativeMethods.NPPi.BitDepthConversion.nppiConvert_32s8u_AC4R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiConvert_32s8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
/// <summary>
/// Resizes images. Not affecting Alpha.
/// </summary>
/// <param name="dest">Destination image</param>
/// <param name="xFactor">X scaling factor</param>
/// <param name="yFactor">Y scaling factor</param>
/// <param name="eInterpolation">Interpolation mode</param>
public void ResizeA(NPPImage_8uC4 dest, double xFactor, double yFactor, InterpolationMode eInterpolation)
{
status = NPPNativeMethods.NPPi.GeometricTransforms.nppiResize_8u_AC4R(_devPtr, _sizeOriginal, _pitch, new NppiRect(_pointRoi, _sizeRoi), dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, xFactor, yFactor, eInterpolation);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiResize_8u_AC4R", status));
NPPException.CheckNppStatus(status, this);
}
