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SUMMARY:Denoising geometric image features - Stacey Levine (Duquesne Unive
 rsity)
DTSTART:20171026T143000Z
DTEND:20171026T153000Z
UID:TALK94660@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Given a noisy image\, it can sometimes be more productive to d
 enoise a transformed version of the image rather than process the image da
 ta directly. In this talk we will discuss two novel frameworks for image d
 enoising\, one that involves denoising the noisy image&rsquo\;s level line
  curvature and another that regularizes the components of the noisy image 
 in a moving frame that encodes its local geometry. Both cases satisfy nice
  unexpected properties that provide justification for this framework. Expe
 riments confirm the improvement when using this approach in terms of both 
 PSNR and SSIM as well as visually.
LOCATION:Seminar Room 1\, Newton Institute
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