X-ray digital image improvement by maximum entropy

Author

Mutihac, R. ; Candusso, M. ; Cerdeira, Antonio ; Cicuttin, A. ; Fratnik, F. ; Colavita, A.A.

Author_Institution

ICTP-INFN-UNU Microprocessor Lab., Trieste, Italy

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

1149

Abstract

Maximum entropy (ME) as prior probability for positive, additive distributions in Bayesian statistics has been investigated in relation with digital image improvement. An iterative algorithm has been developed to minimise a specific function associated to an image with Gaussian noise. Scanned X-ray mammographs have been subject of comparative analyses and have proved to be of a superior quality as compared with their input counterparts in terms of detail contrast and visibility

Keywords

Bayes methods; Gaussian noise; diagnostic radiography; image enhancement; image reconstruction; inverse problems; iterative methods; maximum entropy methods; medical image processing; probability; statistical analysis; Gaussian noise; X-ray digital image improvement; additive distribution; detail contrast; detail visibility; image enhancement; image reconstruction; image restoration; inverse problem; iterative algorithm; maximum entropy; positive distribution; probability; scanned X-ray mammographs; Bayesian methods; Detectors; Digital images; Entropy; Image reconstruction; Inverse problems; Optical imaging; Statistical distributions; X-ray detection; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628570

Filename

628570