• Jeff Calder
  • Wednesday, October 6. 4-5 p.m.
  • EH 3866

Applications of partial differential equations are ubiquitous in image processing and computer vision. Such tasks include: segmentation, noise removal, inpainting, image sharpening, image decomposition, motion estimation, object tracking, etc.. In this talk I will describe some of the more popular techniques for noise removal, edge detection, and image sharpening, such as the Peorona-Malik PDE and the shock filter, and then present some research I did jointly with Professor Mansouri of Queen’s University and Professor Yezzi of Georgia Tech on applying Sobolev gradient flows to the image sharpening problem. The talk should be accessible to first year students.