Title :
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
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;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628570
