PDE Techniques in Wavelet Transforms and Applications Image Processing

Research Horizons Seminar
Wednesday, March 11, 2009 - 12:00pm for 1 hour (actually 50 minutes)
Skiles 255
Hao Min Zhou – School of Mathematics, Georgia Tech
Craig Sloane
In this talk, I will present an brief introdution to use partial differential equation (PDE) and variational techniques (including techniques developed in computational fluid dynamics (CFD)) into wavelet transforms and Applications in Image Processing. Two different approaches are used as examples. One is PDE and variational frameworks for image reconstruction. The other one is an adaptive ENO wavelet transform designed by using ideas from Essentially Non-Oscillatory (ENO) schemes for numerical shock capturing.