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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Directional Framelets with Low Redundancy and Directional Quasi-tight Framelets

## Directional Framelets with Low Redundancy and Directional Quasi-tight FrameletsAdd to your list(s) Download to your calendar using vCal - Bin Han (University of Alberta; University of Alberta)
- Tuesday 19 February 2019, 11:40-12:15
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. ASCW01 - Challenges in optimal recovery and hyperbolic cross approximation Edge singularities are ubiquitous and hold key information for many high-dimensional problems. Consequently, directional representation systems are required to effectively capture edge singularities for high-dimensional problems. However, the increased angular resolution often significantly increases the redundancy rates of a directional system. High redundancy rates lead to expensive computational costs and large storage requirement, which hinder the usefulness of such directional systems for problems in moderately high dimensions such as video processing. In this talk, we attack this problem by using directional tensor product complex tight framelets with mixed sampling factors. Such introduced directional system has good directionality with a very low redundancy rate $\frac{3 This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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