Multi-Level Bilateral Upsampling on the GPU¶

This function implements a multi-level bilateral filtering technique for joint bilateral upsampling.

This technique upsamples a low-resolution image (e.g., motion vectors) using a high-resolution guide image (the image itself, color buffer, depth buffer) while preserving edges. It combines information from the low-resolution image and a downsampled version of the high-resolution guide.

Multi-Level Bilateral Filtering¶

Joint bilateral upsampling effectively transfers details from a high-resolution guide to a low-resolution image. However, using a single guide level can lead to artifacts, especially around sharp edges. Multi-level bilateral filtering addresses this by incorporating information from a downsampled version of the guide, providing a broader context for the filtering process. This results in smoother upsampling with better edge preservation.

Joint Bilateral Upsampling¶

/*
   Joint Bilateral Upsampling implemented in HLSL. Inspired by Kopf et al. (2007) and Riemens et al. (2009).

   ---

   Kopf, J., Cohen, M. F., Lischinski, D., & Uyttendaele, M. (2007). Joint bilateral upsampling. ACM SIGGRAPH 2007 Papers, 96. https://doi.org/10.1145/1275808.1276497

   Riemens, A. K., Gangwal, O. P., Barenbrug, B., & Berretty, R.-P. M. (2009). Multistep joint bilateral depth upsampling. In M. Rabbani & R. L. Stevenson (Eds.), SPIE Proceedings (Vol. 7257, p. 72570M). SPIE. https://doi.org/10.1117/12.805640
*/

float4 JointBilateralUpsample(
   sampler Image, // This should be 1/2 the size as GuideHigh
   sampler GuideLow, // This should be 1/2 the size as GuideHigh
   sampler GuideHigh, // This should be 2/1 the size as Image and GuideLow
   float2 Tex
)
{
   // Initialize variables
   float2 PixelSize = ldexp(fwidth(Tex.xy), 1.0);
   float4 GuideHighSample = tex2D(GuideHigh, Tex);

   float4 ImageSum = 0.0;
   float ImageWeightSum = 0.0;
   float4 BilateralSum = 0.0;
   float BilateralWeightSum = 0.0;

   [unroll]
   for (int x = -1; x <= 1; x++)
   {
      [unroll]
      for (int y = -1; y <= 1; y++)
      {
         // Calculate offset
         float2 Offset = float2(float(x), float(y));
         float2 OffsetTex = Tex + (Offset * PixelSize);

         // Sample image and guide
         float4 ImageSample = tex2Dlod(Image, float4(OffsetTex, 0.0, 0.0));
         float4 GuideLowSample = tex2D(GuideLow, OffsetTex);

         // Calculate weight
         float4 Delta = GuideHighSample - GuideLowSample;
         float Dot4 = rsqrt(dot(Delta, Delta) + 1.0);
         float Weight = smoothstep(0.0, 1.0, Dot4);
         Weight *= Weight;

         // Accumulate sum
         ImageSum += ImageSample;
         ImageWeightSum += 1.0;

         // Accumulate bilateral
         BilateralSum += (ImageSample * Weight);
         BilateralWeightSum += Weight;
      }
   }

   ImageSum /= ImageWeightSum;
   BilateralSum = (BilateralWeightSum > 0.0) ? BilateralSum / BilateralWeightSum : ImageSum;

   return BilateralSum;
}

Self-Guided Optimization¶

In the original multi-level bilateral filtering approach, the spatial weight is calculated using the difference between the high-resolution guide and its downsampled version. However, in scenarios where the low-resolution image and the downsampled guide share similar properties (e.g., when the guide is derived from the image itself), we can simplify the process by directly using the low-resolution image for calculating the spatial weight.

This modification eliminates the need for an explicit downsampled guide and can improve performance by reducing texture fetches. Using the image as a guide, we maintain the edge-preserving characteristics while optimizing the computation.

Self-Guided Bilateral Upsampling¶

/*
   This is an optimized, self-guided version for Joint Bilateral Upsampling implemented in HLSL. Inspired by Kopf et al. (2007) and Riemens et al. (2009).

   ---

   Kopf, J., Cohen, M. F., Lischinski, D., & Uyttendaele, M. (2007). Joint bilateral upsampling. ACM SIGGRAPH 2007 Papers, 96. https://doi.org/10.1145/1275808.1276497

   Riemens, A. K., Gangwal, O. P., Barenbrug, B., & Berretty, R.-P. M. (2009). Multistep joint bilateral depth upsampling. In M. Rabbani & R. L. Stevenson (Eds.), SPIE Proceedings (Vol. 7257, p. 72570M). SPIE. https://doi.org/10.1117/12.805640
*/

float2 SelfBilateralUpsampleXY(
   sampler Image, // This should be 1/2 the size as GuideHigh
   sampler Guide, // This should be 2/1 the size as Image and GuideLow
   float2 Tex
)
{
   // Initialize variables
   float2 PixelSize = ldexp(fwidth(Tex.xy), 1.0);

   // Constants for Array textures
   const int ArrayCount = 9;
   int ImageIndex = 0;

   // Variables for Array textures
   float2 ImageArray[ArrayCount];
   float2 ImageCenter;

   [unroll]
   for (int x = -1; x <= 1; x++)
   {
      [unroll]
      for (int y = -1; y <= 1; y++)
      {
         [flatten]
         if ((x == 0) && (y == 0))
         {
            ImageArray[ImageIndex] = tex2D(Image, Tex).xy;
            ImageCenter = ImageArray[ImageIndex];
         }
         else
         {
            float2 Offset = float2(float(x), float(y));
            ImageArray[ImageIndex] = tex2D(Image, Tex + (Offset * PixelSize)).xy;
         }

         ImageIndex += 1;
      }
   }

   // Store ImageCenter reference
   float4 Reference = float4(tex2D(Guide, Tex).xy, ImageCenter);

   // Initialize variables to compute
   float2 ImageSum = 0.0;
   float ImageWeightSum = 0.0;
   float2 BilateralSum = 0.0;
   float BilateralWeightSum = 0.0;

   [unroll]
   for (int i = 0; i < ArrayCount; i++)
   {
      // Calculate weight
      float4 Delta = ImageArray[i].xyxy - Reference;
      float MaxDot = rsqrt(dot(Delta, Delta) + 1.0);
      float Weight = smoothstep(0.0, 1.0, MaxDot);
      Weight *= Weight;

      // Accumulate sum
      ImageSum += ImageArray[i].xy;
      ImageWeightSum += 1.0;

      // Accumulate bilateral
      BilateralSum += (ImageArray[i].xy * Weight);
      BilateralWeightSum += Weight;
   }

   ImageSum /= ImageWeightSum;
   BilateralSum = (BilateralWeightSum > 0.0) ? BilateralSum / BilateralWeightSum : ImageSum;

   return BilateralSum;
}