This talk will introduce and solidify some concepts in TV Minimization via Chambolle Duality. I will also give an intro into image segmentation and talk about some recent work in this area.
This talk will be about a general framework of image processing such as Image denoising, deblurring, segmentation, etc. Variational and also PDE approaches will be considered. Various function spaces will also be mentioned and we will see some advantages and disadvantages of the functions spaces. At the end,
noise - texture characterization or separation techniques will be discussed. Notice that there are no mathematical definitions of noise and texture yet. We will think about this too.
This talk will be about a general framework of image processing such as Image denoising, deblurring, segmentation, etc. Variational and also PDE approaches will be considered. Various function spaces will also be mentioned and we will see some advantages and disadvantages of the functions spaces. At the end,
noise - texture characterization or separation techniques will be discussed. Notice that there are no mathematical definitions of noise and texture yet. We will think about this too.
In this talk I will give a survey of Monte Carlo methods for solving linear systems, and present results of recent research on a new estimator. I will also present numerical results comparing a sequential Monte Carlo method with the standard deterministic solvers. I will then describe quasi-Monte Carlo methods, and present results of current research made on a new modification of the Halton sequence.
