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Hi Christopher,<br><br>thanks for your answer! I'm not very familiar with noise in images, but if I understand correctly the Wiener deconvolution filter requires knowledge about the nature of the noise itself. Am I correct? What if I don't know its nature but I need to find which kind of noise affected the image?<br><br>Many many thanks<br><br>Lena<br><br><div><div id="SkyDrivePlaceholder"></div><hr id="stopSpelling">Date: Wed, 13 Mar 2013 10:57:25 -0400<br>Subject: Re: [Insight-users] Level of noise in an image<br>From: christopher.mullins@kitware.com<br>To: lilli888899@hotmail.it<br>CC: insight-users@itk.org<br><br><div dir="ltr">Are you looking for the power spectral densities of the signal and noise? You might consider the implementation of the Wiener deconvolution filter [1].<div><br></div><div>[1] <a href="http://www.itk.org/Doxygen/html/classitk_1_1WienerDeconvolutionImageFilter.html" target="_blank">http://www.itk.org/Doxygen/html/classitk_1_1WienerDeconvolutionImageFilter.html</a></div>
</div><div class="ecxgmail_extra"><br><br><div class="ecxgmail_quote">On Wed, Mar 13, 2013 at 10:46 AM, lena russo <span dir="ltr"><<a href="mailto:lilli888899@hotmail.it">lilli888899@hotmail.it</a>></span> wrote:<br>
<blockquote class="ecxgmail_quote" style="border-left:1px #ccc solid;padding-left:1ex">
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Hi all,<br><br>I'm trying to develop a good method to evaluate the level
of noise in an image in order to filter the image accordingly and
remove this noise. Have you got any suggestion?<br><br>Many many thanks for your help,<br><br>Lena </div></div>
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