Session 1 - PixInsight Basics

Introduction to PixInsight

Mehdi Bozzo-Rey: mehdi@exploresciences.com

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

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

PixInsight: where to find help ?● Pixinsight online resources page

PixInsight: Where to find help ? (2)● PixInsight forum : a lot of information, examples etc ...

PixInsight: where to find help ? (3)● inline help

UI: main interface

UI: tab: Process Console● All the “system” operations are logged here

UI: tab: View Explorer ● Information about currently available views (any workspace)

UI: tab: Process Explorer ● shortcuts for the processes (i.e. operations available)

UI: tab: File Explorer ● File browser with integrated preview, histogram and info

UI: tab: Script Editor ● a script editor

UI: tab: History Editor ● Allows you to view the process history for a particular view

PixInsight workspaces● There are 4 workspaces available

Working with images: change image identifier● changing the name of the view

Working with images: previews● creating a preview

Working with images: previews (2)● preview properties

Working with images: duplicate an image● left click, drag&drop

Working with images: duplicate an image (2)● End result

readout mode● Pixel location and values per channel

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

STF autostretch

STF autostretch● based on the histogram, so you need a clean picture

Dynamic crop● removing parts you don’t want/need

STF autostretch again● using a clean picture this time

Saving processes

Saving processes (2)

reinjecting a process

reinjecting a process (2)

Working with masksExtract Lightness = work on the structure

Invert it and work on the background

mask selection: red is preserved !

mask selection: show (or not) mask

applying process on a masked picture● The process is applied only on certain regions

applying process on a masked picture (2)● in our case we exposed details in the core of the galaxy

not using masks● bad idea: the process is applied on both the structure and background

using masks: background work (1)example: using the inverted lightness mask and Histogram transformation

using masks: background work (2)● trying to remove high intensity pixels from the background

using masks: background work (3)● final result

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

Ready to go !

Session 1 - PixInsight Basics

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Transcript of Session 1 - PixInsight Basics

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