Graduate Seminar

Scheduled Talk - October 7, 2009 - [ 12:00PM in DH 1064 ]

Chengbo Li

"TVAL3: A New Solver for TV Minimization with the Application to the Single Pixel Camera"

Abstract:
In this talk, I propose an efficient algorithm for solving a class of compressive sensing problems with total variation regularization. This research is motivated by the need for efficient solvers capable of restoring images to a high quality captured by the single pixel camera developed in the ECE department of Rice University. Based on the ideas of the augmented Lagrangian method and alternating minimization to solve subproblems, an efficient and robust algorithm called TVAL3 is developed. TVAL3 is compared favorably with other widely used algorithms in terms of reconstruction speed and quality. Convincing numerical results are presented to show that TVAL3 is suitable for single pixel camera and many other applications. At the end, a related interesting and promising research topic--hyperspectral imaging--is simply introduced.