Information-Theoretic Image Formation

—The emergent role of information theory in image formation is surveyed. Unlike the subject of information-theoretic communication theory, information-theoretic imaging is far from a mature subject. The possible role of information theory in problems of image formation is to provide a rigorous framework for defining the imaging problem, for defining measures of optimality used to form estimates of images, for addressing issues associated with the development of algorithms based on these optimality criteria, and for quantifying the quality of the approximations. The definition of the imaging problem consists of an appropriate model for the data and an appropriate model for the reproduction space, which is the space within which image estimates take values. Each problem statement has an associated optimality criterion that measures the overall quality of an estimate. The optimality criteria include maximizing the likelihood function and minimizing mean squared error for stochastic p...

• Type: Journal
• Year: 1998
• Where: TIT
• Authors: Joseph A. O'Sullivan, Richard E. Blahut, Donald L. Snyder
• Keywords: Associated Optimality Criterion, Image Formation, Imaging Problem, TIT 1998