With the deconvolution commands of Astroart it is possible to restore an image corrupted by blur or bad tracking. Some amateur astronomers use this feature to restore also film photos.


This image is a two minutes exposure of M13 with a TMAX 400 B&W film. The image was not tracked but after the Maximum Entropy deconvolution it is perfectly restored. This image was scanned with a low cost A4 scanner.
 

The rotational gradient filter, also known ad Larson-Sekanina, can reveal faint details and jets inside comets.



Thanks to the speed of Astroart, this complex filter takes less than a second on a 512x512 image, using a 1 Ghz PC.
 

This is a filter available as free plug-in. It can correct almost any kind of uneven level of brightness in your images (usually caused by light pollution)



In the screen-shot above, the three processing steps on a comet image: at left the original image (note at the bottom the intensity profile), the "synthetic flat field" and finally the corrected image on the right.

Astroart contains two unique adaptive filters. The Non-Linear high pass filter improves the sharpness of an image without black rings around stars or other artifacts.


The Adaptive Low pass reduces the noise of an image without blurring and without loosing definition. Try them in the demo version.
 

An high pass filter (sharpen filter) should be applied on a picture only if the noise hidden in the image is very low. This is usually false for a single shot of a planet.


On the left a single saturn image after an Unsharp mask filter, the noise become visible.
On the right 20 frames was averaged (and automatically aligned) before filtering.
 

On the background there is a raw image of a sequence with a star selected as reference for the automatic alignment. On the foreground the powerful Preprocessing Window with the file boxes filled by a simple Drag & drop.



In a few seconds all the images are corrected for dark frame, flat field, aligned and summed into a single image. The dark frame and the flat are also the result of a group of files, by average or median.