1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchJeff Runninghttps://www.microsoft.com/en-us/research/people/jeffrunn/Efficient space-variant deconvolution" - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="tgANLfVTyU"><a href="https://www.microsoft.com/en-us/research/video/efficient-space-variant-deconvolution/">Efficient space-variant deconvolution”</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/efficient-space-variant-deconvolution/embed/#?secret=tgANLfVTyU" width="600" height="338" title="“Efficient space-variant deconvolution”” — Microsoft Research" data-secret="tgANLfVTyU" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/efficient-space-variant-deconvolution-1.jpg320240Blur in photos due to camera shake, blur in astronomical image sequences due to atmospheric turbulence, and blur in magnetic resonance imaging sequences due to object motion are examples of blur that can not be adequately described as a space-invariant convolution, because such blur varies across the image. In this talk, we present a class […]