Astroart contains several adaptive filters. The Non-Linear high pass filter improves the sharpness
of an image without introducing artifacts.
The Adaptive Low pass reduces the noise of an image without blurring and loosing definition.
These filters attenuate the random noise of an image, without blurring the details.
Thanks to speed of the realtime preview, the best filter parameters can be found visually.
Several white balance methods, and the realtime preview, let you easily combine three channels.
This image of the Fishhead Nebula (IC 1795) was made with the "Hubble palette", using the S-II, H-Alpha and OIII filter. Image and processing by Rudi Bjørn Rasmussen.
Thanks to the instant star recognition and SIMD code Astroart can stack hundreds of images very quickly.
In a few seconds all images are normalized, corrected, rejected if needed, aligned and summed into a high quality result. Try it with the demo version.
With the deconvolution filters it's possible to restore an image corrupted by blur
or bad tracking. This can be also applied to old film photos.
This image of M13 were taken a TMAX 400 B&W film. It was restored via Maximum Entropy deconvolution.
Six filters to correct any kind of uneveness of illumination in your images, usually
caused by light pollution. Click to enlarge.
The satellite stray was removed with the cosmetic filter "Remove lines".
Astroart includes a complete mask layer. Masks are used to process or analyze a part of the image.
Masks can be created from a Formula (for example: all pixels below a value), from stars, or just using the mouse like in graphical programs.
To increase the signal to noise ratio it is necessary to acquire many images and then sum them.
Astroart aligns and stacks hundreds of images very quickly, using optimized algorithms for star fields, comets, planets and spectrums.
Powerful filters like Deconvolution
and FFT can be applied to your own photos.
Working with 96 bits (32 for every R,G,B channel) allows to correct better the defects and to balance accurately the colours.
Next page: Image analysis