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SUMMARY:Directional Framelets with Low Redundancy and Directional Quasi-ti
 ght Framelets - Bin Han (University of Alberta\; University of Alberta)
DTSTART:20190219T114000Z
DTEND:20190219T121500Z
UID:TALK120019@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Edge singularities are ubiquitous and hold key<br>information 
 for many high-dimensional problems. Consequently\, directional<br>represen
 tation systems are required to effectively capture edge singularities<br>f
 or high-dimensional problems. However\, the increased angular resolution o
 ften<br>significantly increases the redundancy rates of a directional syst
 em. High<br>redundancy rates lead to expensive computational costs and lar
 ge storage<br>requirement\, which hinder the usefulness of such directiona
 l systems for<br>problems in moderately high dimensions such as video proc
 essing. In this talk\,<br>we attack this problem by using directional tens
 or product complex tight<br>framelets with mixed sampling factors. Such in
 troduced directional system has<br>good directionality with a very low red
 undancy rate $frac{3^d-1}{2^d-1}$\,<br>e.g.\, the redundancy rates are $2$
 \, $2frac{2}{3}$\, $3frac{5}{7}$\,<br>$5frac{1}{3}$ and $7frac{25}{31}$ fo
 r dimension $d=1\,ldots\,5$. Our numerical<br>experiments on image/video d
 enoising and inpainting show that the performance<br>of our proposed direc
 tional system with low redundancy rate is comparable or<br>better than sev
 eral state-of-the-art methods which have much higher redundancy<br>rates. 
 In the second part\, we shall discuss our recent developments of<br>direct
 ional quasi-tight framelets in high dimensions. This is a joint work with<
 br>Chenzhe Diao\, Zhenpeng Zhao and Xiaosheng Zhuang.
LOCATION:Seminar Room 1\, Newton Institute
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