Imaging & inverse problems (IMAGINE) OneWorld seminars

A SIAM-IS virtual seminar series

Inspired by the idea of the Probability, PDE, MINDS and MADS One World seminars, our One World IMAGing and INvErse problems (IMAGINE) seminar series aims to provide a forum for exchange of ideas and networking for scientists world-wide working in the field of mathematical imaging and applied inverse problems.

From October 2020, the seminar series is labeled by the SIAM activity group on Imaging Science (SIAG IS). Visit this page if you want more information for joining SIAM.

IMAGINE topics

Talks of this seminar series will focus on the mathematical modelling, analysis and computational aspects of image processing and applied inverse problems together with their application to real-world problems.

Dates, times and format

IMAGINE seminars will run every other week on Wednesdays.
Seminars will start at 10am US Eastern time, click here for conversion in your local time.
Seminars will take the format of Zoom Webinars.
Seminars will be 45 minute long, with 15 minutes for questions moderated by the hosts of the call.

Mailing list

Please subscribe to the SIAM-IS IMAGINE virtual series by filling this form.

Attending the webinar

We will use the Zoom Webinar platform. Prior to the beginning of the seminar, a Zoom link with password will be sent to the e-mail addresses of the people who have registered to be included in the mailing list. As participant, your audio and video will be muted. You may ask questions at the end of the talk by clicking on the 'Raise your hand' button. You will be then unmuted and allowed to talk with the presenter.

Upcoming talks / January-June 2022 (5th season)

All seminars will start at 10am US Eastern time.

They will be available also on the IMAGINE SIAM AG IS YouTube channel .

The complete list of previous speakers, their YouTube recordings and their slides are available here (1st season), here (2nd season) and here (3rd season).

WEDNESDAY FEBRUARY 2nd - Erkki Sommersalo (Case Western, USA)

Title: Imaging with unstructured adaptive meshes

Abstract: In many applications, imaging problems involve a numerical solution of a partial differential equation or an integral equation, requiring a discretization of the model. The method of choice for PDEs is to use finite element methods over a triangularization of the computational domain. To guarantee good resolution and mitigate the effect of the discretization error, dense meshes are preferred, which leads to an increased computational cost. In this talk, the problem is addressed from the point of view of mesh adaptation, the discretization being part of the inverse problem.

WEDNESDAY FEBRUARY 16th - Tieyong Zeng (Chinese University, Hong Kong)

Title: Blind Image Deblurring: What is the Next Step?

Abstract: Blind image deblurring is a challenging task in imaging science where we need to estimate the latent image and blur kernel simultaneously. To get a stable and reasonable deblurred image, proper prior knowledge of the latent image and the blur kernel is urgently required. In this talk, we address several of our recent attempts related to image deblurring. Indeed, different from the recent works on the statistical observations of the difference between the blurred image and the clean one, we first report the surface-aware strategy arising from the intrinsic geometrical consideration. This approach facilitates the blur kernel estimation due to the preserved sharp edges in the intermediate latent image. Extensive experiments demonstrate that our method outperforms the state-of-the-art methods on deblurring the text and natural images. Moreover, we discuss the Quaternion-based method for color image restoration. After that, we extend the quaternion approach for blind image deblurring.

WEDNESDAY MARCH 2nd - Elie Bretin (INSA Lyon, Fr)

Title: TBA

Abstract:

WEDNESDAY MARCH 16th - Nuutti Hyvonen (Aalto University, Fin)