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Proceedings Paper

Adaptive projection technique for CT images refinement
Author(s): Shyh-shiaw Kuo; Richard J. Mammone
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Paper Abstract

The resolution of computerized tomographic (CT) images is limited due to the bandlimited reconstruction process and the use of smoothing windows that eliminate high spatial frequencies from the image. A new method is presented that restores these missing spectral components and thus increases the resulting spatial resolution of the image. The new method based on the row action projection (RAP) algorithm is computationally efficient and facilitates local adaptation of the projection operators. The local mean value as well as minimum and maximum bounds are used as constraints. The method is proposed to provide a zoom-in capability which yields a high resolution estimate of a specified region of the image. The zoom-in feature could be of great utility in medical and commercial applications of tomographic image reconstruction. Computer simulations demonstrate the new method to be very effective in recovering high order spectral components of designated regions of the reconstructed image.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50311
Show Author Affiliations
Shyh-shiaw Kuo, Rutgers Univ. (United States)
Richard J. Mammone, Rutgers Univ. (United States)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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