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Siril is a software application for astrophotography, which allows pre-processing and processing of images from any type of camera (CCD, planetary camera, webcam etc.). The images must be converted to 32-bit FITS format which is the format used natively by Siril.
The process relies on the subject (e.g. a planet) being unchanged between photographs, so that any differences can be assumed to be random noise or atmospheric interference. The stack of images can be in the form of individual consecutive shots or from frames of a movie camera trained on the scene.
FITS Liberator is free software released under the BSD-3 license. [2] The engine behind the FITS Liberator is NASA's CFITSIO library . Although the first version of the software was a tool used mainly by professional astronomers , efforts have been made to bring the tool to the homes of educators and students.
Noiseware is a image noise reduction software by Imagenomic, available for Adobe Photoshop, Photoshop Elements, Apple Aperture, Microsoft Windows (stand-alone) and iOS. [1] In addition to the paid Noiseware 5, an older version (2.6) is available as a free-to-use "Community Edition".
Montage is a software toolkit used in astrophotography to assemble astronomical images in Flexible Image Transport System (FITS) format into composite images, called mosaics, that preserve the calibration and positional fidelity of the original input images. [2] It won a NASA Space Act Award in 2006. Montage was developed to support scientific ...
From an astronomer's point of view, it is a simple matter of installing the ASCOM platform and suitable client software; no programming is required. ASCOM drivers allow computer-based control of devices such as planetarium software to direct a telescope to point at a selected object. Using a combination of mount, focuser and imaging device ...
AviSynth is a frameserver program for Microsoft Windows, Linux and macOS initially developed by Ben Rudiak-Gould, Edwin van Eggelen, Klaus Post, Richard Berg and Ian Brabham in May 2000 [1] and later picked up and maintained by the open source community which is still active nowadays.
Noise from the image sensor include hot pixels, which light up more brightly than surrounding pixels. The technique works by taking a picture with the shutter closed and subtracting that electronically from the original photo exhibiting the noise. Dark-frame subtraction has been applied to the left half of the image.