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1 June 1992 Digital image enhancement for display of bone radiographs
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We present a solution method for adaptively smoothing magnetic resonance (MR) images while preserving discontinuities. We assume that the spatial behavior of MR data can be captured by a first order polynomial defined at every pixel. The formulation itself is similar to Leclerc's work on piecewise-smooth image segmentation, but we use the graduated non- convexity (GNC) algorithm as an optimizing tool for obtaining the solution. This requires initial values for polynomial coefficients of order greater than zed all three images displayed on laser-printed film. Two radiologists made subjective quality judgments of each film individually and then ranked the trio in terms of quality. The results indicated that the observers preferred ASAHE-processed low-resolution films to both high- and low-resolution unprocessed films.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kelly Rehm, Michael J. Pitt, Theron W. Ovitt, and William J. Dallas "Digital image enhancement for display of bone radiographs", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992);

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