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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Imaging Lunch: Deconvolution: Restore Sharper Images by Inverting 
 Acquisition
DTSTART:20250514T110000
DTEND:20250514T130000
DTSTAMP:20260316T095103Z
UID:f25332f8f9675461d019f3a95be1836f19a28cb9fcc9d866b0b91c32
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Vasiliki Sergiopoulou\, Dr Daniel Sage\nOur in-house expert
 s Dr Vasiliki Sergiopoulou and Dr Daniel Sage will give a workshop on Dec
 onvolution: Restore Sharper Images by Inverting Acquisition during our ne
 xt imaging lunch. Open to all EPFL PhD students and Postdocs!\n\nImage acq
 uisition systems\, such as lenses\, face unavoidable degradations that pro
 duce blurred\, noisy\, out-of-focus images or aberrations. To mitigate thi
 s\, deconvolution algorithms can correct these degradations when the image
  formation model can be mathematically expressed as a convolution. Deconvo
 lution computationally restores image quality and image detail by making u
 se of the point spread function (PSF)\, the impulse responses of the imagi
 ng system. It is applied to many scientific images\, including light micro
 scopy ones\, yielding remarkable results with 3D data.\n\nIn this workshop
 \, we will first study the PSF and then provide an overview of various dec
 onvolution strategies\, including inverse filtering\, iterative optimizati
 on with image-prior regularization\, and deep learning approaches in both 
 supervised and self-supervised learning. Additionally\, participants will 
 have the opportunity to practice classic deconvolution algorithms\, model 
 and/or data based\, using open-source software.\n\nAudience: Scientists an
 d engineers with an interest in imaging. No programming is required.\n\nRe
 gistration required\n\nAbout the Imaging Lunches: Once per month\, the EP
 FL Center for Imaging organises an event dedicated to all PhD students and
  postdocs working with/in imaging. Discuss the latest advances in imaging.
  Connect with imaging peers. Learn about popular imaging tools!
LOCATION:CE 1 711.2 https://plan.epfl.ch/?room==CE%201%20711.2
STATUS:CONFIRMED
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