Title: Tight Frames for Multiscale and Multidirectional Image Analysis
Speaker: Ed Bosch (UMD)
During this talk we will demonstrate an elegant way of constructing 2D tight frames from a set of orthonormal vectors via upsampling and circular convolution. Furthermore, this framework allows us to analyze and visualize image data at multiple scales and directions, and exploit the representation redundancy in a computationally efficient manner. Finally, we employ this framework to perform image superresolution via edge detection and characterization.