High-Frequency Filtration for the Brightness Alignment of the Astronomical Frame Background

This paper explores the significance of image processing in various fields of scientific research, including astronomy, where it plays a crucial role in enhancing the quality of acquired data and assists researchers in extracting valuable information from them. One important aspect of image processing is brightness equalization, which improves the contrast and sharpness of images, making them more suitable for analysis and interpretation. For instance, in astronomical observations, this can be critical for distinguishing faint objects against the background of the night sky or galaxies. The study also examines various high-frequency filtering methods, such as the Gaussian filter, Butterworth filter, and ideal filter, and their application in the context of astronomical observations. These methods play a vital role in processing astronomical images by helping to eliminate noise and artifacts that may distort the data. In astronomical images, noise can be caused by atmospheric effects, electronic interference, or even cosmic rays. The application of appropriate filtering methods reduces the influence of these factors and enhances the reliability of the obtained results. Thus, image processing is an integral part of modern astronomy, playing a significant role in acquiring and analyzing data about cosmic objects and phenomena.