Introduction to Astronomical Imaging Processing

By Phil Schumacher

www.cloudtrap.com

 

 

 

Introduction

 

An amateur astronomer for 5 year

 

2 ½ years of taking black & white astronomical Images

 

Mainly deep sky images (nebulas, galaxies and star clusters)

 

My early planetary images

 

 

 

 

 

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Why the need for image processing?

 

 Raw and Processed image of M42

 

Types of processing:

 

      •Corrections – Scientifically Valid

 

      •Enhancements – Not scientifically Valid

 

      •Retouching


 

 

 

 

 

 

 

 

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Review of imaging process

    

 

       Telescope and camera setup

 

     Three F’s (Finding, Focusing, Following) (Trailing)

 

     Imaging Software (MaxIm/DL CCD)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Processing Steps

 

1.            Calibration (Remove camera and telescope artifacts)

2.            Align & Stack  (Increase signal to noise ratio)

3.            Stretch  (Make desired part of image visible)

4.            Enhance  (Improve presentation)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Image stacking

Why stack images?

      Obtain longer effective exposure to improve signal to noise ratio.

Better Tracking

      Less likelihood of a ruined shot

            Satellite

            Cosmic Ray

            •Wind

            •Light struck

            •Bump

      Light pollution

      Keep bright areas under control

 

 

 

 

 

 

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Down-sides of stacking

 

      •Somewhat higher noise

•More memory

•Need to align and stack in software

         

         

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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Processing steps for M42

      Corrections:

      The Electron Well

Dark Subtract and Flat frame correct

Whirlpool Galaxy Example

Making Flats (Setup)

Advanced calibration with scalable dark frames using bias frames

     

 

Processing Example M42

Debloom if necessary

      Align & Stack images

      Screen Stretch

 

 

 

 

 

 

 

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SNR - Square Root Rules:

          

 

 

Noise adds by the square root of the sum of squares.

           The noise of the signal is the square root of the signal.

 

           S/N Math

 

 

 

 

 

 

 

 

 

 

 

 

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The Need for Photons

 

 

 

Mystery Image

 

 

Signal to Noise Ratio Curve

 

 

 

 

 

 

 

 

 

 

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Enhancements

    

Non-linear Stretch (DDP, Log, Gamma, Histograms)

    

Sharpening (Filter, Unsharp Mask, Deconvolution)

    

      Examples

 

Mosaic building

     M42+NGC 1977

     Leo Triplet

       

 

 

 

 

 

 

 

 

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        Retouching

     Star fixing with clone tool

     Pixel editing

     Color Tinting

    

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

***Last***

 

 

 

 

 

 

 

Extra topics:

        Auto-guiding

        Methods of finding Objects

        Telescope types and trade-offs for photography

        Photometry concept (Light curves of stars)

        Astrometry concept (Orbits of Comets and Asteroids)

        Color imaging concepts

        Consumer Digital cameras

        Planetary imaging