题目：Directional Tight Framelets with Applications to Image Processing

报告人: Bin Han

（University of Alberta, Canada）

Abstract :As the major multiscale representation system, wavelets have many applications in mathematics and engineering. In this talk, we shall first present a brief introduction to fast wavelet transform. Then we shall discuss directional tight framelets and their applications to image processing. Wavelet frames (i.e., framelets) with directionality are of great interest in both theory and application for signal and image processing. We shall introduce a family of directional tensor product complex tight framelets (TPCTFs). For several inverse problems in image processing such as image/video denoising and inpainting, we shall show that TPCTFs have impressive performance over many other known transform-based methods such as curvelets, shearlets, dual tree complex wavelet transform, and undecimated wavelet transform. This talk is based on several joint papers with Q. Mo, Z. Zhao, and X. Zhuang.

时间：6月13日（周四）下午16:00-16:50

地点：565net必赢客户端本部教二楼 827 教室

联系人：汪和平

欢迎全体师生积极参加！