In many images, certain parts will be extremely bright. The extreme brightness can mask the details.

For example, the star in the center of this nebula is very bright. By using HDR transform, we can offset that brightness to show more detail.


The first step is to create a mask to protect the background and focus our attention on the brighter areas of the image. We first start by extracting the luminance from our image with the Channel Extraction process.

We need to emphasize the bright structure of our luminance image by clipping the dark regions and brightening the light regions. This is done with Histogram Transformation.

To do this, first, clip the shadows by using the bottom on the bottom half for Shadows. Then move the middle slider on the graph so that the peak is midway in the second box.

HDR Multiscale Transform

With HDR Multiscale Transform,

HDR Transform: 5 Layers
HDR Transform: 5 Layers
HDR Transform: 6 Layers

HDR Transform: 6 Layers
HDR Transform: 7 Layers

HDR Transform: 7 Layers
HDR Transform: 8 Layers
HDR Transform: 8 Layers

We now have 4 different images to blend with our our master image.


Each of our HDR Transform results shows differing levels of detail in the bright areas. We want to blend these into our luminance image as a single image would overpower the result and lose brightness or detail.

We use Pixel Math to merge these together. Pixel Math allows us to select the strength of each image in the final, merged luminance. I often start with the following:

  • Original: 30%
  • HDR 5 Layers: 10%
  • HDR 6 Layers: 15%
  • HDR 7 Layers: 20%
  • HDR 8 Layers: 25%

These together equals 100%

  • Formula:
  • Create new image
  • Color Space: Same as target

If we compare the new blended image to the original luminance, we get the following:

Original RGB
HDR Transformed RGB

We can now see more detail within the center of the object.

What’s Next

The next step is to try and sharpen the details within our new luminance image.