High-Level Project Summary
In this project we use an integrated development of GNU Octave to be able to assemble the red, blue, and green components of an image, to later transfer them to an open source astronomical image processing tool, correcting the color of the original image and being able to transform it into a more attractive image for the public eye.The first thing to do was download the raw images taken by the JunoCam. After obtaining the processed image, the Octave code allows us to join RGB images to obtain the uncalibrated composite image. After obtaining the combined images, they were transferred to a tool called Siril, which allows us to color-correct them to get a sharp image of Jupiter.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Basically, our project consists of the development of a kind of programming where we will join the three images that were taken by JunoCam.
The advantage that it has is that it is very attractive and it has a really artistic side that will encourage the public to try this kind of software.
The programming that we are doing is capable of linking the three images (R, G, B) and being able to get to the original image.
We used Matlab/Octave, a picture converter from png to FITS, Siril, in regards to hardware given the fact that this Project is meant to be for the general public and promote the interest in astronomy in them, the only piece of hardware needed is a working computer and wi-fi connection.
Space Agency Data
All the pictures and data were taken from the JunoCam web gallery. https://www.missionjuno.swri.edu/junocam/processing. We used the raw pictures given for developing our code and processed them next. This gallery allowed us to understand that pictures that we see on social media are not literally taken by a satellite, they have a big process in the background.
Hackathon Journey
It was something we have never done before, so it was really interesting and challenging. We had no knowledge of Python or Siril, but we managed to learn how to take advantage of these tools. We had a lot of challenges that involved changing the way we were developing our code, we even changed platforms more than once. We would like to thank astrophotographer Guillermo Cervantes for mentoring us and giving us a lot of useful advice.
References
- https://www.missionjuno.swri.edu/junocam/processing
- GNU Octave
- Matlab
- Siril
Tags
#JunoCam, #divulgation, #art, #programming, #photos, #junocam