Application of Iterative Blind Deconvolution Algorithms

Southwest Research Institute (SwRI) Mathematics, 2009-10

Liaison(s): Eliot Young, Rick Puetter, Franck Marchis
Advisor(s): Weiqing Gu (F), Hank Krieger (S)
Students(s): Jeffrey Burkert, Bryce Lampe, Taiki Sakai (PM), Jason Wyman

Blind image deconvolution is an important area of research for the reconstruction of images that contain both blurring and noise, such as images of objects in outer space taken by the Hubble Space Telescope. We present the mathematics behind this process and discuss two software packages that tackle this problem, Pixon and AIDA. In particular, we will discuss our work with AIDA, and the additions we have made to the existing algorithm.