Inheritance: NPPImageBase
Esempio n. 1
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		/// <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);
		}
Esempio n. 2
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		/// <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);
		}
Esempio n. 3
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		/// <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);
		}
Esempio n. 4
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		/// <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);
		}
Esempio n. 5
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		/// <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);
		}
Esempio n. 6
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		/// <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);
		}
Esempio n. 7
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		/// <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);
		}
Esempio n. 8
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		/// <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);
		}
Esempio n. 9
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		/// <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);
		}
Esempio n. 10
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		/// <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);
		}
Esempio n. 11
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		/// <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);
		}
Esempio n. 12
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		/// <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);
		}
Esempio n. 13
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		/// <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);
		}
Esempio n. 14
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		/// <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 &gt; 0 and &lt;= 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);
		}
Esempio n. 15
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		/// <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);
		}
Esempio n. 16
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		/// <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);
		}
Esempio n. 17
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		/// <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);
		}
Esempio n. 18
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		/// <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);
		}
Esempio n. 19
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		/// <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);
		}
Esempio n. 20
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		/// <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();
			}

		}
Esempio n. 21
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		/// <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);
		}
Esempio n. 22
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		/// <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);
		}
Esempio n. 23
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		/// <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);
		}
Esempio n. 24
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		/// <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);
		}
Esempio n. 25
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		/// <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);
		}
Esempio n. 26
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		/// <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);
		}
Esempio n. 27
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		/// <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);
		}
Esempio n. 28
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		/// <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);
		}
Esempio n. 29
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		/// <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);
		}
Esempio n. 30
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		/// <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);
		}