Image processing and image reconstruction with the use of a priori information Conference Paper

abstract

• Bayesian methods that utilize Gibbs priors to incorporate a priori information in the statistical models used for deriving algorithms for image processing and image reconstruction have been developed. The Gibbs prior describes the local continuity of neighboring pixels and takes into account the effect of limited spatial resolution. These new approaches are capable of providing improved image quality.

authors

• Johnson, Valen

published proceedings

• Proceedings of SPIE - The International Society for Optical Engineering

author list (cited authors)

• Chen, C. T., Johnson, V. E., Hu, X., Wong, W. H., & Metz, C. E

complete list of authors

• Chen, CT||Johnson, VE||Hu, X||Wong, WH||Metz, CE

publication date

• January 1990

published in

• Proceedings of SPIE  Journal

International Standard Book Number (ISBN) 10

• 081940277X

start page

• 439

end page

• 442

volume

• 1233