cuda-samples/Samples/2_Concepts_and_Techniques/imageDenoising/imageDenoising_nlm_kernel.cuh

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////////////////////////////////////////////////////////////////////////////////
// NLM kernel
////////////////////////////////////////////////////////////////////////////////
__global__ void NLM(TColor *dst, int imageW, int imageH, float Noise,
                    float lerpC, cudaTextureObject_t texImage) {
  const int ix = blockDim.x * blockIdx.x + threadIdx.x;
  const int iy = blockDim.y * blockIdx.y + threadIdx.y;
  // Add half of a texel to always address exact texel centers
  const float x = (float)ix + 0.5f;
  const float y = (float)iy + 0.5f;

  if (ix < imageW && iy < imageH) {
    // Normalized counter for the NLM weight threshold
    float fCount = 0;
    // Total sum of pixel weights
    float sumWeights = 0;
    // Result accumulator
    float3 clr = {0, 0, 0};

    // Cycle through NLM window, surrounding (x, y) texel
    for (float i = -NLM_WINDOW_RADIUS; i <= NLM_WINDOW_RADIUS; i++)
      for (float j = -NLM_WINDOW_RADIUS; j <= NLM_WINDOW_RADIUS; j++) {
        // Find color distance from (x, y) to (x + j, y + i)
        float weightIJ = 0;

        for (float n = -NLM_BLOCK_RADIUS; n <= NLM_BLOCK_RADIUS; n++)
          for (float m = -NLM_BLOCK_RADIUS; m <= NLM_BLOCK_RADIUS; m++)
            weightIJ += vecLen(tex2D<float4>(texImage, x + j + m, y + i + n),
                               tex2D<float4>(texImage, x + m, y + n));

        // Derive final weight from color and geometric distance
        weightIJ =
            __expf(-(weightIJ * Noise + (i * i + j * j) * INV_NLM_WINDOW_AREA));

        // Accumulate (x + j, y + i) texel color with computed weight
        float4 clrIJ = tex2D<float4>(texImage, x + j, y + i);
        clr.x += clrIJ.x * weightIJ;
        clr.y += clrIJ.y * weightIJ;
        clr.z += clrIJ.z * weightIJ;

        // Sum of weights for color normalization to [0..1] range
        sumWeights += weightIJ;

        // Update weight counter, if NLM weight for current window texel
        // exceeds the weight threshold
        fCount += (weightIJ > NLM_WEIGHT_THRESHOLD) ? INV_NLM_WINDOW_AREA : 0;
      }

    // Normalize result color by sum of weights
    sumWeights = 1.0f / sumWeights;
    clr.x *= sumWeights;
    clr.y *= sumWeights;
    clr.z *= sumWeights;

    // Choose LERP quotient basing on how many texels
    // within the NLM window exceeded the weight threshold
    float lerpQ = (fCount > NLM_LERP_THRESHOLD) ? lerpC : 1.0f - lerpC;

    // Write final result to global memory
    float4 clr00 = tex2D<float4>(texImage, x, y);
    clr.x = lerpf(clr.x, clr00.x, lerpQ);
    clr.y = lerpf(clr.y, clr00.y, lerpQ);
    clr.z = lerpf(clr.z, clr00.z, lerpQ);
    dst[imageW * iy + ix] = make_color(clr.x, clr.y, clr.z, 0);
  }
}

extern "C" void cuda_NLM(TColor *d_dst, int imageW, int imageH, float Noise,
                         float lerpC, cudaTextureObject_t texImage) {
  dim3 threads(BLOCKDIM_X, BLOCKDIM_Y);
  dim3 grid(iDivUp(imageW, BLOCKDIM_X), iDivUp(imageH, BLOCKDIM_Y));

  NLM<<<grid, threads>>>(d_dst, imageW, imageH, Noise, lerpC, texImage);
}

////////////////////////////////////////////////////////////////////////////////
// Stripped NLM kernel, only highlighting areas with different LERP directions
////////////////////////////////////////////////////////////////////////////////
__global__ void NLMdiag(TColor *dst, unsigned int imageW, unsigned int imageH,
                        float Noise, float lerpC,
                        cudaTextureObject_t texImage) {
  const int ix = blockDim.x * blockIdx.x + threadIdx.x;
  const int iy = blockDim.y * blockIdx.y + threadIdx.y;
  // Add half of a texel to always address exact texel centers
  const float x = (float)ix + 0.5f;
  const float y = (float)iy + 0.5f;

  if (ix < imageW && iy < imageH) {
    // Normalized counter for the weight threshold
    float fCount = 0;

    // Cycle through NLM window, surrounding (x, y) texel
    for (float i = -NLM_WINDOW_RADIUS; i <= NLM_WINDOW_RADIUS; i++)
      for (float j = -NLM_WINDOW_RADIUS; j <= NLM_WINDOW_RADIUS; j++) {
        // Find color distance between (x, y) and (x + j, y + i)
        float weightIJ = 0;

        for (float n = -NLM_BLOCK_RADIUS; n <= NLM_BLOCK_RADIUS; n++)
          for (float m = -NLM_BLOCK_RADIUS; m <= NLM_BLOCK_RADIUS; m++)
            weightIJ += vecLen(tex2D<float4>(texImage, x + j + m, y + i + n),
                               tex2D<float4>(texImage, x + m, y + n));

        // Derive final weight from color and geometric distance
        weightIJ =
            __expf(-(weightIJ * Noise + (i * i + j * j) * INV_NLM_WINDOW_AREA));

        // Increase the weight threshold counter
        fCount += (weightIJ > NLM_WEIGHT_THRESHOLD) ? INV_NLM_WINDOW_AREA : 0;
      }

    // Choose LERP quotient basing on how many texels
    // within the NLM window exceeded the LERP threshold
    float lerpQ = (fCount > NLM_LERP_THRESHOLD) ? 1.0f : 0;

    // Write final result to global memory
    dst[imageW * iy + ix] = make_color(lerpQ, 0, (1.0f - lerpQ), 0);
  };
}

extern "C" void cuda_NLMdiag(TColor *d_dst, int imageW, int imageH, float Noise,
                             float lerpC, cudaTextureObject_t texImage) {
  dim3 threads(BLOCKDIM_X, BLOCKDIM_Y);
  dim3 grid(iDivUp(imageW, BLOCKDIM_X), iDivUp(imageH, BLOCKDIM_Y));

  NLMdiag<<<grid, threads>>>(d_dst, imageW, imageH, Noise, lerpC, texImage);
}