Ph.D. Thesis: Inverse Problems In Image Processing

Ramesh Neelamani

Thesis in PDF,

Defence talk (2.00 pm CST, June 3rd, 2003) in PDF (400 KB), in Compressed Postscript (600 KB).

Abstract:
Inverse problems involve estimating parameters or data from inadequate observations; the observations are often noisy and contain incomplete information about the target parameter or data due to physical limitations of the measurement devices. Consequently, solutions to inverse problems are non-unique. To pin down a solution, we must exploit the underlying structure of the desired solution set. In this thesis, we formulate novel solutions to three image processing inverse problems: deconvolution, inverse halftoning, and JPEG compression history estimation for color images.