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- Computational Methods for Image Recovery: Theory and Applications
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- Home
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Student life & resources
Postgraduate research
- Info for new students
- Current research students
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- Michael Tallis PhD Research Travel Award
- Information about research theses
- Past research students
- Resources
- Entry requirements
- PhD projects
- Obtaining funding
- Application & fee information
Student services
- Help for postgraduate students
- Thesis guidelines
- School assessment policies
- Computing information
- Mathematics Drop-in Centre
- Consultation
- Statistics Consultation Service
- Academic advice
- Enrolment variation
- Changing tutorials
- Illness or misadventure
- Application form for existing casual tutors
- ARC grants Head of School sign off
- Computing facilities
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Abstract:
In this talk, we survey recent developments of computational methods for image recovery. The methods include total variation, sparsity, and non-convex optimization. Some theoretical results will be discussed. Several numerical examples are also presented to demonstrate applications in imaging sciences.
Speaker
Prof. Michael Ng
Research Area
Applied Seminar
Affiliation
Hong Kong Baptist University
Date
Wed, 03/04/2013 - 10:00am to 11:00am
Venue
Red Center 4082