Paper
1 July 1990 Image processing and image reconstruction with the use of a-priori information
Chin-Tu Chen, Valen E. Johnson, Xiaoping Hu, Wing H. Wong, Charles E. Metz
Author Affiliations +
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. 1.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chin-Tu Chen, Valen E. Johnson, Xiaoping Hu, Wing H. Wong, and Charles E. Metz "Image processing and image reconstruction with the use of a-priori information", Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); https://doi.org/10.1117/12.18922
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KEYWORDS
Image processing

Image restoration

Reconstruction algorithms

Algorithm development

Image quality

Spatial resolution

Imaging systems

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