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In this article we describe the results of a preliminary investigation of computerized processing of digital grey-scale fluorography (DGF) images. Image processing techniques used include dynamic range equalization, adaptive contour enhancement and non-linear transformation of grey-scale data. Original and processed images derived from non-subtractive digital angiography and digital spot-film investigations are used to illustrate our findings. The quality of the processed images confirms the promise of digital image processing in DGF.
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