Session 1 - PixInsight Basics
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Transcript of Session 1 - PixInsight Basics
Introduction to PixInsight
Mehdi Bozzo-Rey: [email protected]
PixInsight ● software made by astronomers for astronomers● growing community● no “painting”● masks are heavily used and you build your masks using the original data● processes highly tunable● the development team will implement function based on research papers if
needed● works almost anywhere● not a good idea to use it for planetary imaging pre-processing / mosaics
Mehdi Bozzo-Rey: [email protected]
By the way … what is that FITS thing ?● FITS: Flexible Image Transport System
○ Open Standard defining a digital file format○ specifically designed for a scientific usage○ most common file format used in astronomy○ the header contains the scientific information
Mehdi Bozzo-Rey: [email protected]
PixInsight: where to find help ?● Pixinsight online resources page
Mehdi Bozzo-Rey: [email protected]
PixInsight: Where to find help ? (2)● PixInsight forum : a lot of information, examples etc ...
Mehdi Bozzo-Rey: [email protected]
PixInsight: where to find help ? (3)● inline help
Mehdi Bozzo-Rey: [email protected]
UI: main interface
Mehdi Bozzo-Rey: [email protected]
UI: tab: Process Console● All the “system” operations are logged here
Mehdi Bozzo-Rey: [email protected]
UI: tab: View Explorer ● Information about currently available views (any workspace)
Mehdi Bozzo-Rey: [email protected]
UI: tab: Process Explorer ● shortcuts for the processes (i.e. operations available)
Mehdi Bozzo-Rey: [email protected]
UI: tab: File Explorer ● File browser with integrated preview, histogram and info
Mehdi Bozzo-Rey: [email protected]
UI: tab: Script Editor ● a script editor
Mehdi Bozzo-Rey: [email protected]
UI: tab: History Editor ● Allows you to view the process history for a particular view
Mehdi Bozzo-Rey: [email protected]
PixInsight workspaces● There are 4 workspaces available
Mehdi Bozzo-Rey: [email protected]
Working with images: change image identifier● changing the name of the view
Mehdi Bozzo-Rey: [email protected]
Working with images: previews● creating a preview
Mehdi Bozzo-Rey: [email protected]
Working with images: previews (2)● preview properties
Mehdi Bozzo-Rey: [email protected]
Working with images: duplicate an image● left click, drag&drop
Mehdi Bozzo-Rey: [email protected]
Working with images: duplicate an image (2)● End result
Mehdi Bozzo-Rey: [email protected]
readout mode● Pixel location and values per channel
Mehdi Bozzo-Rey: [email protected]
A word about histograms and linear images
● horizontal: left to right = black to white● vertical: number of pixels with the same value● very good introduction here
● A linear image is an image where values of its pixels follow a linear function of the source intensities : needed for enhancement
● non linear transformations are applied at the end
Mehdi Bozzo-Rey: [email protected]
STF autostretch
Mehdi Bozzo-Rey: [email protected]
STF autostretch● based on the histogram, so you need a clean picture
Mehdi Bozzo-Rey: [email protected]
Dynamic crop● removing parts you don’t want/need
Mehdi Bozzo-Rey: [email protected]
STF autostretch again● using a clean picture this time
Mehdi Bozzo-Rey: [email protected]
Saving processes
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Saving processes (2)
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reinjecting a process
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reinjecting a process (2)
Mehdi Bozzo-Rey: [email protected]
Working with masksExtract Lightness = work on the structure
Invert it and work on the background
Mehdi Bozzo-Rey: [email protected]
mask selection: red is preserved !
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mask selection: show (or not) mask
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applying process on a masked picture● The process is applied only on certain regions
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applying process on a masked picture (2)● in our case we exposed details in the core of the galaxy
Mehdi Bozzo-Rey: [email protected]
not using masks● bad idea: the process is applied on both the structure and background
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using masks: background work (1)example: using the inverted lightness mask and Histogram transformation
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using masks: background work (2)● trying to remove high intensity pixels from the background
Mehdi Bozzo-Rey: [email protected]
using masks: background work (3)● final result
Mehdi Bozzo-Rey: [email protected]
Commonly used processes● ScreenTransfer Function (AutoStretch)● Dynamic crop● Dynamic Background Extraction● Background neutralisation● Sample format conversion● Histogram Transformation● Channel Extraction● Channel Combination● HDR multiscale transform● curves transtormation
● ACDNR● Color Saturation● ATrousWaveletTransform
Mehdi Bozzo-Rey: [email protected]
Ready to go !
Mehdi Bozzo-Rey: [email protected]