Rotational Gradient (Larson Sekanina Filter)

The rotational gradient, also called Larson Sekanina filter, is a filter that allows to remove circular structures from an image, to better highlight other details. This technique is particularly effective to show the jets coming out of the nucleus of a comet.

The principle is quite simple: this image processing consists in subtracting two copies of the image from each other, one of the two copies having been previously rotated with respect to a point defined in the image.

  • If there are circular structures around this point they are not modified by rotation and will disappear after rotation.

  • If there are non-circular structures, like jets in the coma, they will be shifted in relation to each other between the two copies and the subtraction will amplify the contrast of this structure in the result.

  • If the comet moves in the image, it is possible to add a radial shift.

dialog

Dialog box of the Rotational Gradient filter.

In the example below, concerning the comet 46-P Wirtanen, the alignment was made on the comet and the stars show important trails. The comet is very circular and it is difficult to see details about its activity. Therefore, it is not necessary to define a radial shift. For the rotation, an angle of a little more than 28° was chosen (this choice was made after several attempts and using the undo button to go back). To choose the coordinates of the center of rotation, just make a selection around the cometary nucleus and click on Use current selection. This action will copy the coordinates of the centroid to the desired location.

dialog

Image of a comet whose tail is barely visible.

A simple click on Apply will apply the filter. In our example, the tail becomes visible.

dialog

After applying the filter, the tail of the comet appears very clearly.

Siril command line

rgradient xc yc dR dalpha
Creates two images, with a radial shift (dR in pixels) and a rotational shift (dalpha in degrees) with respect to the point (xc, yc).

Between these two images, the shifts have the same amplitude, but an opposite sign. The two images are then added to create the final image. This process is also called Larson Sekanina filter