Title :
Improving the spatial resolution of real-time radiography images using the maximum entropy method
Author :
Doering, Edward R. ; Basart, John P.
Author_Institution :
Iowa State Univ., Ames, IA, USA
Abstract :
The authors have evaluated the maximum-entropy method (MEM) as a technique to improve the spatial resolution of real-time radiography images. The point spread function (PSF) of the image intensifier was estimated by differentiating a high-resolution scan made by translating the edge of a lead plate in subpixel increments relative to a single pixel of the CCD (charge coupled device) video camera. The 1D PSF was rotated to form the 2D PSF, which was used as the system function for the MEM algorithm. Improvement in the restored image was evaluated quantitatively using a resolution gauge. MEM was found to increase the contrast of the resolution gauge over the visible range of the digitized image by as much as 8 dB. Furthermore, the MEM smoothed the image noise, restored the square-wave pattern, and did not generate significant artifacts
Keywords :
computerised picture processing; entropy; image intensifiers; numerical analysis; radiography; real-time systems; 2D point speed function; CCD video camera; X-ray inspection; algorithm; charge coupled device; high-resolution scan differentiation; image intensifier; image noise smoothing; image processing; lead plate; maximum-entropy method; point spread function; quantitative evaluation; real-time radiography images; resolution gauge; restored image; spatial resolution; square-wave pattern; subpixel increments; system function; translation; Entropy; Image converters; Image restoration; Inspection; Light scattering; Phosphors; Radiography; Real time systems; Spatial resolution; X-ray imaging;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186611