My 2021 Astrophotography Image Processing Tutorial!

Astrophotography Image Processing Tutorial

In this video, I use DeepSkyStacker, Adobe Photoshop, and PixInsight to process the deep space photo I shared in the last video! You can download my data to practice on and follow along if you want! (listed below).

Software:

Practice using My Data:

[itaialter]

To my understanding, deconvolution brings out more details by analyzing the star shape and how much it needs to be corrected to form a perfect circle, then by analyzing the image pixels and applying that same correction across the entire image, it brings out details that were previously a bit smeared. However, I sometimes have some issues with dark halos when deconvoluting.

[derekderek]

Highly highly highly recommend using PI end to end for your AP needs. I would love to see this image restacked and realigned

[sbk_nef]

I'm not very much into photography, more of a film-maker commercially but this guy is a reason why i started thinking photography is way more than posing and headshots. 🤍 Genuine admirer from India. Keep up that awesome work.

[robertmcgrory]

I am glad I discovered your channel great little tutorial btw. I am new to astronomy and astrophotography. However I have professional background in seismic data analysis and imaging. Deconvolution, is a process that undoes some sort of filter operation on your data (seismic, image, acoustic, etc..) that in general has degraded your image in some fashion. Typically, introducing blurriness around sharp edges because of a variety of reasons. An every day example using sound is the effect of listening to someone with a pillow over their mouth. Remove the pillow and you can hear the frequencies of the persons voice absorbed by the pillow. Removing the pillow is a form of "deconvolution". Sharpens the sound of the voice by restoring the higher frequencies. When a filter is applied to any data, the process is called "convolution". Deconvolution or inverse filtering (the other name the process is known by) attempts in a statistical manner, to undo a filter process. In this case, an assumption is that the edges of objects in the image have been blurred by filtering (e.g. the atmosphere, optics, sensors of the camera etc..), and an inverse filter is designed (deconvolution) to, in this case, "sharpen" the edges of objects in the image (stars, transition in gas concentrations in the nebula etc..).

[lars-gunnarbergquist]

Fantastic info from you Trevor!
I’m right now stacking my first 3 hours of Andromeda frames, taken with a DSLR and a Star Adventurer I got for christmas. All of this started after watching your videos about three years ago! Thank you for the inspiration and great teaching.

[saahilsinha]

Nice to see you incorporating Pixinsight, quick tip - the StarAlignment process in Pix is a very easy way to align the channels, and will be more precise than manually aligning them in PS. Just select one of them as the reference view and apply it to the other

[rafidworriars]

I just like how easily you teach people your processings, it was so useful and the way you show is so perfect and very understandable..and this picture is so good! ✨

[avt_astro]

Cant express how much I have Learned in 32 Minutes, fantastic Tutorial Trevor, Very Inspiring!! Good Luck With Your Observatory!👍

[mattwier]

Great overview! Quote of the day: “This data looks mouthwatering!”

[celestromel]

Your video quality from your new office is wonderful. Having Ashley behind the camera makes everything SO pro-looking!
Looks like I now have to buy Pixinsight!

[sirmeowcelot]

Thanks, Trevor for the awesome video. The end result is worthy of the Louvre.

[capturethephotons]

I think I will try giving your data a download over the 3 day weekend for memorial day in the 🇺🇸 and following along. My biggest struggle is astrophotography is the post processing. Thank you for the lessons, very awesome! Clear skies

[matthewhalvorson]

If you use the compute offset in DSS and stack your group tabs individually it will align your different filters for you. Your buddy Nico has a great video on it!!

[peterlaubscher]

Feedback. I have just used this idea to re-process some frames I captured on on 23 May with my elderly QSI 583, which has been modified to work with Canon lenses. I used a f 1.8 50mm Yongnuo lens to capture subs of eta Carina, which is well placed in the evening in the Southern Hemisphere during May. Mapping H Alpha to red and OIII to blue and green works really well. Have done the basic processing with Nebulosity version 4 - a programme I am growing to like more each day. Thanks for this great idea.

[billblanshan]

Trevor, you should really denoise and do deconvolution in the linear stage. It is best to fix the image first before stretching. The simplist way to do this is for you to down darkarcons EZ processing suite. Many YouTube videos on this. Keep up the great work!

[evilkyote]

Awesome video as always. Trevor, tip for starnet - if you have an nvivia graphics card you can speed up the starnet part drastically by offloading the processing to the GPU instead of the cpu. And the faster the card the better. You should look into it.

[angryBOT]

I follow your channel for a long time and just coincidentally saw your subscriber count. Damn, Trevor! Good job and you deserve it :). Keep going and break through that million subs border. Make astrophotography famous :D

[chandrasekharlimit]

I’m an Astronomy and Astrophysics major at Florida Tech, I’ve had a telescope but never did much more than peak at the moon and our Jovian pair, but recently I’ve been obsessed, especially after using the telescopes at Roque de los Muchachos :) I have my own post processor I made in python but I definitely will try this and compare :)

[ChucksAstrophotography]

Thanks for sharing your knowledge, Trevor!

[taurus]

Thank you very much for the video. So much work in it. I can feel how you want to share the enthusiasm.
I am so much in love with the H-Alpha stretched image. I feel there is so much depth in it. It’s like showing through a window, a landscape, so much in dimensions, 3D. I downloaded the H-alpha tif file and ran a stretch and i’m so happy you shared it. Thank you very much