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Astrophotography Deconvolution

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Using Deconvolution to Reveal Detail in Deep-Sky Images

    https://astrodoc.ca/revealing-hidden-detail-deep-sky-images-deconvolution/#:~:text=Turbulence%20in%20the%20atmosphere%20and%20imperfections%20in%20optics,the%20amount%20of%20detail%20that%20can%20be%20seen.
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Using Deconvolution to Reveal Detail in Deep-Sky Images

    https://astrodoc.ca/revealing-hidden-detail-deep-sky-images-deconvolution/
    Turbulence in the atmosphere and imperfections in optics cause blurring of details in astronomical images. The “true” image is said to be “convolved” with these unwanted effects. Deconvolution is the process of removing the blurring to …

Deconvolution - Madratter's AstroImaging

    https://astroimages.weebly.com/deconvolution.html
    To do Deconvolution properly, we are going to need three things first: 1) A Point Spread Function for stars in the image. 2) A star mask to help protect the brightest star from ringing artifacts. 3) A mask to protect the background areas in the image from being touched and made more noisy.

Understanding deconvolution | Astronomy.com

    https://astronomy.com/magazine/tony-hallas/2013/04/understanding-deconvolution
    They define this as the response of an imaging system to a point source of light (a star). Our imaging system includes all elements that affect a …

Easy and Effective Deconvolution in PixInsight – Remote ...

    https://remoteastrophotography.com/2020/12/easy-and-effective-deconvolution-in-pixinsight
    Click the Deconvolution tab at the upper part of the window on the left side of the screen, then click the ‘Generate PSF’ button to generate the PSF. Once complete, the right side of the screen will show the PSF image. Next, evaluate your settings by clicking the button labeled ‘Evaluate EZ Decon Run’.

PixInsights Tips: Proper use of Regularized Richardson …

    https://jonrista.com/the-astrophotographers-guide/pixinsights/proper-use-of-regularized-richardson-lucy-deconvolution/
    Deconvolution isn’t really meant for such images. What deconvolution will attempt to do is redistribute the energy of the stars with fatter profiles from their fainter outer regions into their peaks. This has the effect of narrowing their profiles, giving them geometries more like the naturally sharper stars.

Deconvolution in Astronomy: A Review - IOPscience

    https://iopscience.iop.org/article/10.1086/342606
    Deconvolution of astronomical images has proven in some cases to be crucial for extracting scientific content. For instance, IRAS images can be efficiently reconstructed thanks to a new pyramidal maximum entropy algorithm (Bontekoe, Koper, & Kester 1994 ).

OSC Deconvolution question - Beginning Deep Sky Imaging

    https://www.cloudynights.com/topic/719756-osc-deconvolution-question/
    Deconvolution is a technique for improving detail. Your eyes see detail in the luminance part of the image, so that's what you do deconvolution on. When you recombine L with the RGB the RGB haven't changed, but that doesn't matter to your eyes. You're basically just painting the L with the RGB.

Astrophotography - Image Processing - CCDSharp Deconvolution

    http://mistisoftware.com/astronomy/Process_CCDSharp_Deconvolution.htm
    Deconvolution is a very computationally intense operation. The 20-meg SBIG STL-11000m files take about 40 minutes for a 3-iteration CCDSharp deconvolution on a 3 Ghz PC. Step C: Save Deconvolved File

Deconvolution Sharpening – Professor Morison's …

    http://www.ianmorison.com/deconvolution-sharpening/
    Deconvolution Sharpening. There are many methods of sharpening; those included in Adobe Photoshop or Affinity Photo include ‘Unsharp Mask’, ‘Smart Sharpen’ and ‘High Pass Sharpening’. I would class these as ‘Actuance’ sharpening methods. A further, distinct method is called ‘Wavelet Sharpening whilst a third, and the main topic of this article, is called ‘Deconvolution Sharpening’.

PixInsight : Deconvolution on starless images - Astrophotography

    https://thecoldestnights.com/2020/06/pixinsight-deconvolution-on-starless-images/
    Step 1 : Make copies of both the original and the deconvoluted images. Stretch those copies (apply STF with HT). Step 2 : Use the PixelMath expression “ [OriginalStretched] – – [DeconStretched]” and check Create new image. This image is the absolute difference between the original image and the deconvoluted image.

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