Super-Resolution Algorithm for Captured Images by "All-Sky System"


Authors : Roberto Solís; Christian Quintana; Nelson Vejar; Claudia Alvarado; Joseph Rozas; Renato Zamora

Volume/Issue : Volume 6 - 2021, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3wBzNMd

The atmospheric images captured by the AllSky systems correspond to images of low visual quality, so their subsequent study is limited to the optical capabilities of the sensors with which they were captured, improving these deficiencies based on recent processing techniques of images based on superresolution not only allows to improve the levels of the capture of transient elements related to the increase or improvement of the level of definition or quality of the images but also to recover the night sky in areas where light and atmospheric pollution only allows to detect faint light signals from stars and their different elements. The objective of this work was to develop an algorithm capable of increasing the faint electromagnetic signals captured by the sensors and that are not visible to the naked eye. This process is carried out by integrating the pixels of a given astronomical zone and applying different improvements focused on the pixels, generating a single super-resolution image, with a greater amount of data per pixel, from four low-resolution images. Being the Matlab modeling software, the main tool for developing the algorithm is achieving a 126% improvement in resolution over the original capture system.

Keywords : Super-Resolution; All-Sky System; Pixel Integration; Transient Elements.

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