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).

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.