Open AccessABOUT DIGITAL PROCESSING OF ASTRONOMICAL IMAGES USING HISTOGRAM PROCESSING METHODS
Author(s) -
D. Alyoshin,
А. В. Демьяненко,
A. A. Solodovnik
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.31435/rsglobal_conf/25042021/7524
Subject(s) - computer science , histogram , computer vision , grayscale , artificial intelligence , image processing , process (computing) , noise (video) , filter (signal processing) , median filter , satellite , computer graphics (images) , remote sensing , pixel , image (mathematics) , physics , geography , astronomy , operating system
Photos of extended objects are crucial for astronomers, as they contain enough detailed information about the celestial bodies that it is quite difficult to extract visually. Most of the information available for analyzing these objects begins with studying them with telescopes or satellites. Unfortunately, the quality of astronomical images is usually very poor compared to other real images, and this is due to the technical and physical features associated with the process of obtaining them. This increases the percentage of noise and makes it more difficult to directly use standard methods on the original image. Images taken from a satellite or telescope are almost always grayscale, but still contain some color information. However, an astronomical image can be obtained through a color filter. Different photodetectors also usually have different sensitivity to different colors (wavelengths). In our paper, we will present a method for processing astronomical images, using histogram processing, which can be successfully used to improve images, and post-processing.