Gaussian noise

<h2 id="gaussian-noise-in-digital-images">Gaussian noise in digital images</h2>
<p>Principal sources of Gaussian noise in <a href="/facts/Digital_image/3TNT47Mv">digital images</a> arise during acquisition e.g. <a href="/facts/Sensor_noise/zwhrU8lc">sensor noise</a> caused by poor illumination and/or high temperature, and/or transmission e.g. <a href="/facts/Circuit_noise_level/UAzMtkrR">electronic circuit noise</a>.<a class="footnote-ref" id="fnref:4" href="#fn:4"><sup>4</sup></a> In <a href="/facts/Digital_image_processing/zenalNCf">digital image processing</a> Gaussian noise can be reduced using a <a href="/facts/Spatial_filter/EfTRbgQF">spatial filter</a>, though when smoothing an image, an undesirable outcome may result in the blurring of fine-scaled image edges and details because they also correspond to blocked high frequencies. Conventional spatial filtering techniques for <a href="/facts/Noise_reduction/9jrDQnAN">noise removal</a> include: mean (<a href="/facts/Convolution/PVPrdz9J">convolution</a>) filtering, <a href="/facts/Median_filter/YU4NdjKT">median filtering</a> and <a href="/facts/Gaussian_smoothing/4LzxTJP0">Gaussian smoothing</a>.<a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a><a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a>
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<h2 id="see-also">See also</h2>
<ul><li><a href="/facts/Gaussian_process/MrBq7kYW">Gaussian process</a></li>
<li><a href="/facts/Gaussian_smoothing/4LzxTJP0">Gaussian smoothing</a></li></ul>

<h2 id="references">References</h2>

<ol>
<li id="fn:1"><p>Tudor Barbu (2013). "Variational Image Denoising Approach with Diffusion Porous Media Flow". Abstract and Applied Analysis. 2013: 8. doi:10.1155/2013/856876. <a href="https://doi.org/10.1155%2F2013%2F856876" target="_blank">https://doi.org/10.1155%2F2013%2F856876</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li>
<li id="fn:2"><p>Barry Truax, ed. (1999). "Handbook for Acoustic Ecology" (Second ed.). Cambridge Street Publishing. Archived from the original on 2017-10-10. Retrieved 2012-08-05. <a href="https://web.archive.org/web/20171010053540/http://www.sfu.ca/sonic-studio/handbook/Gaussian_Noise.html" target="_blank">https://web.archive.org/web/20171010053540/http://www.sfu.ca/sonic-studio/handbook/Gaussian_Noise.html</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li>
<li id="fn:3"><p>Philippe Cattin (2012-04-24). "Image Restoration: Introduction to Signal and Image Processing". MIAC, University of Basel. Archived from the original on 2016-09-18. Retrieved 11 October 2013. <a href="https://web.archive.org/web/20160918164948/https://miac.unibas.ch/SIP/06-Restoration.html" target="_blank">https://web.archive.org/web/20160918164948/https://miac.unibas.ch/SIP/06-Restoration.html</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li>
<li id="fn:4"><p>Philippe Cattin (2012-04-24). "Image Restoration: Introduction to Signal and Image Processing". MIAC, University of Basel. Archived from the original on 2016-09-18. Retrieved 11 October 2013. <a href="https://web.archive.org/web/20160918164948/https://miac.unibas.ch/SIP/06-Restoration.html" target="_blank">https://web.archive.org/web/20160918164948/https://miac.unibas.ch/SIP/06-Restoration.html</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li>
<li id="fn:5"><p>Tudor Barbu (2013). "Variational Image Denoising Approach with Diffusion Porous Media Flow". Abstract and Applied Analysis. 2013: 8. doi:10.1155/2013/856876. <a href="https://doi.org/10.1155%2F2013%2F856876" target="_blank">https://doi.org/10.1155%2F2013%2F856876</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li>
<li id="fn:6"><p>Robert Fisher; Simon Perkins; Ashley Walker; Erik Wolfart. "Image Synthesis — Noise Generation". Retrieved 11 October 2013. <a href="http://homepages.inf.ed.ac.uk/rbf/HIPR2/noise.htm" target="_blank">http://homepages.inf.ed.ac.uk/rbf/HIPR2/noise.htm</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li>
</ol>

Gaussian noise open-in-new

Gaussian noise