Ahmed S Fahmy

This course provides a comprehensive overview on the mathematical techniques and methods used in the image processing science. The course contains two central themes: inverse problems in image processing; and stochastic image analysis. The first theme includes regularization methods for ill-posed problems and solutions to large scale inverse problems. The second theme covers modeling of image intensity distribution, local smoothing filters, wiener filters, image segmentation, and shape analysis. The course emphasizes the practical implementation and numerical case studies of real image processing problems.