There are 3 repositories under astronomical-images topic.
Scalable inference for a generative model of astronomical images
Astronomy Library for C++
automated photometry pipeline for small to medium-sized observatories
piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies
GPU Framework for Radio Astronomical Image Synthesis
Nasa Astronomical picture of the Day Desktop Wallpaper Changer.
A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.
A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images
Wordpress Astrometry.net Plugin
This project is intended to produce images composed of 16x16 pixel clusters of space images mostly from by Hubble Space Telescope. The algorithm is written in Python using Flask which returns the base 64 image, and the frontend is developed in React JS.
Using Kadane's Algorithm to find the brightest area in Astronomical images. Using concept of maximum contiguous subarray to find the area with highest sum and thus using opencv and finding the brightest area, applying on image and video.
An open-source & modular reduction pipeline for astronomical images of point sources.
Astronomy Class Library
reducing shot noise using regional fourier transforms
Applied Space Science with Python
Exploratory data analysis and ML projects based on Astronomical data (Space Images)
A selenium webscraper for automated download of the Hi-GAL data products.
Software for stacking astronimical images of deep sky objects
The Astro Spiral project presents an innovative way to compare astronomical images of the sky by building a convex spiral (modification of the Graham Scan algorithm for convex hull) according to the bright objects in a photo. On that purpose, I made an application for Windows and Mac OS X, written in C++ that uses the Cinder toolbox.
SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star formation, and the nature of the universe. Since we could not find an easily accessible dataset for galaxy classification, we compiled a dataset for Galaxy classification and provided benchmarks with some of the common learning algorithms that would help in automating the galaxy classification which until recently had to be performed by hand by expert astronomers. We classify the images of galaxies into four classes: spiral, elliptical, irregular, and invalid.
Empirical PSFs of GALEX, SDSS, and 2MASS
Inspect and mark your FITS images quickly.
Reducción de Imágenes Astronómicas usando Python
Computer application designed for the calibration of astronomical images and their subsequent scientific analysis through a graphical interface.
Protocol buffer for the FITS astronomical data file format
Neural network implementation from scratch for celestial objects classification
Astro Log is a mobile app for logging and sharing your astronomical observations. No, this is not an astrology platform!
Sony Auto astro is a powrful softare for controle and use Sony camera in astronomy.