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Astrophotography, also known as astronomical imaging, is the photography or imaging of astronomical objects, celestial events, or areas of the night sky. The first photograph of an astronomical object (the Moon ) was taken in 1839, [ 1 ] but it was not until the late 19th century that advances in technology allowed for detailed stellar photography.
Drizzle (or DRIZZLE) is a digital image processing method for the linear reconstruction of undersampled images. The method is normally used for the combination of astronomical images and was originally developed for the Hubble Deep Field observations made by the Hubble Space Telescope.
Video astronomy (aka - Camera Assisted Astronomy, aka electronically-assisted astronomy or "EAA" [1]) is a branch of astronomy for near real-time observing of relatively faint astronomical objects using very sensitive CCD or CMOS cameras.
Dylan O'Donnell is an Australian IT entrepreneur and amateur photographer, whose astrophotography has been featured by the European Space Agency (ESA), and NASA. [1] His work has been selected twice for NASA's Astronomy Picture of the Day (APOD) .
Lucky image of M15 core. Lucky imaging (also called lucky exposures) is one form of speckle imaging used for astrophotography.Speckle imaging techniques use a high-speed camera with exposure times short enough (100 ms or less) so that the changes in the Earth's atmosphere during the exposure are minimal.
Guerra Cryogenic Camera ad in May, 1974 Sky & Telescope. Cold camera photography is a technique used by astrophotographers to reduce the electronic noise that accumulates during long exposures with the electronic sensors in DSLRs and dedicated CMOS or CCD astro-cameras.
One branch of amateur astronomy, amateur astrophotography, involves the taking of photos of the night sky. Astrophotography has become more popular with the introduction of far easier to use equipment including, digital cameras, DSLR cameras and relatively sophisticated purpose built high quality CCD cameras and CMOS cameras.
Monochrome astrophotography also requires a greater number of calibration frames. Calibration frames are used capture artefacts and dust on the image sensor and filter, and light gradients due to internal reflections in the optical train. These can then be removed from the final image.
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