Advanced Milky Way Photography Post Processing

Take a deeper dive into post processing your Milky Way photos! Join Erik Kuna as he teaches you how to decrease the noise and increase the signal to bring out the very best in your astrophotography. Erik walks you step-by-step through his workflow for dealing with noise, nailing the white balance, reducing light pollution, adding depth and dimension, enhancing the Milky Way core, and a series of finishing moves to really make things pop.

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Erik Kuna

Release Date: 2021-10-29

Lessons

Introduction

The instructor introduces the class and discusses what will be covered in the lessons that follow.

Duration: 3 mins 22 seconds

Dealing with Noise

Shooting at high ISOs requires dealing with noise right off the bat.

Duration: 18 mins 36 seconds

Nailing the White Balance

Dial in that white balance before you go any further.

Duration: 6 mins 43 seconds

Dealing with Light Pollution

A lot of this type of work is repetitive and can be made more efficient using actions in Photoshop.

Duration: 14 mins 48 seconds

Adding Depth and Dimension

With the image cleaned up it is time to stretch the image to add some depth and dimension.

Duration: 6 mins 13 seconds

Adjusting the Color Balance

The next step in the process is addressing the balance of color in the photo.

Duration: 5 mins 23 seconds

Enhancing the Milky Way Core

Time to take that milky way core up to 11.

Duration: 4 mins 25 seconds

Reduce Stars to Enhance Milky Way

By reducing the surrounding stars you can make the milky way stand out even more.

Duration: 6 mins 9 seconds

Sharpen and Glow

As we enter the end stage of editing you can give your photo a mystical glow.

Duration: 1 mins 23 seconds

Workflow Walkthrough: Part 1

Now that you’ve seen the workflow up close it is time to walk through a number of images to see that this is a repeatable process.

Duration: 2 mins 22 seconds

Workflow Walkthrough: Part 2

Erik walks through a final image and wraps up the class with some closing thoughts.

Duration: 1 mins 26 seconds