Re: DoG filter for denoising

Posted by Jeremy Adler-2 on Feb 02, 2017; 12:29pm
URL: http://imagej.273.s1.nabble.com/DoG-filter-for-denoising-tp5017991p5017993.html

Unless you believe that the noise varies over time why try to remove it when making an intensity measurement, presumably from a ROI that contains many pixels. The noise averages out.
Any filtering requires that you can identify a specific type of noise - say occasional high intensity pixels and aim to remove that type of noise.
A Gaussian filter smooths the image, potentially making  more pleasing to the eye, but does not alter the sum of the intensities in a ROI. DoG involves subtracting images smoothed over different radii to highlight edges - it will remove any low frequency components and affect the intensity summed or averaged over a ROI.

Try the easy way - without filtering.

-----Original Message-----
From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Fabrice Senger
Sent: den 2 februari 2017 13:03
To: [hidden email]
Subject: DoG filter for denoising

Hi there,

I'm using a DoG filter for the purpose of image denoising. Has some one a good technical paper about the use of this filter for denoising (not edge detection). I found some Wikipedia infos but I would appreciate something more specific on denoising.

As far I now this filter behaves linearly so it is possible to still do intensity measurements. In my case i'm looking at the evolution of my signal over time.

Thank you for your support,

Fabrice.

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