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Venus Unveiled: Mastering UV/IR and RGB Processing in Planetary Imaging
This 2 part tutorial offers a comprehensive introduction to processing Venus data. Imaging Venus is unique in planetary imaging, combining both UV/IR and RGB processing to enhance cloud details.
The first part introduces the raw data components and initial sharpening in Registax. Damian concludes this part with stacking the UV/IR datasets in AutoStakkert.
Part 2 focuses on combining data in Photoshop, starting with initial processes, followed by creating a synthetic green channel and adding finishing touches.
A Comprehensive Guide to Imaging and Processing Uranus
Uranus, located in the distant reaches of our solar system, presents a significant challenge for ground-based telescopic imaging. In this 2 parts tutorial, Damian covers all aspects necessary for processing Uranus data, including crucial acquisition decisions to ensure optimal quality.
Part 1 begins with Damian discussing data acquisition, considerations for stacking frames, and the processes in Registax.
In part 2, Damian focuses on stacking data in AutoStakkert and offers final processing tips in Photoshop for false color presentation.
One Shot Colour Saturn Processing
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One Shot Colour Saturn Processing
Saturn is arguably one of the most impressive objects that you can image in the night sky and in this tutorial, Damian Peach will guide you through all the steps necessary to produce an award-winning picture of Saturn. The tutorial covers several aspects to enhance your planetary processing. Although the workflow may follow a common pathway, it’s crucial to follow Damian’s steps since processing each planet presents its own unique challenges and circumstances.
Techniques for merging diverse telescope data on pixinsight with MoP
Since the shift from CCD to CMOS, you might question if data from the same telescope, despite resolution differences, can be merged. Dr. Ron Breacher from Masters of Pixinsight will demonstrate how to combine data from two different telescopes using the same camera, and even data from various telescopes, allowing for composite images with distinct fields of view.