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Nonlinear Image Filtering with Edge and Corner Enhancement
August 1992 (vol. 14 no. 8)
pp. 826-833

The authors describe a model of nonlinear image filtering for noise reduction and edge enhancement using anisotropic diffusion. The method is designed to enhance not only edges, but corners and T junctions as well. The method roughly corresponds to a nonlinear diffusion process with backward heat flow across the strong edges. Such a process is ill posed, making the results depend strongly on how the algorithm differs from the diffusion process. Two ways of modifying the equations using simulations on a variable grid are studied.

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Index Terms:
picture processing; corner enhancement; model; nonlinear image filtering; noise reduction; edge enhancement; anisotropic diffusion; filtering and prediction theory; picture processing
Citation:
M. Nitzberg, T. Shiota, "Nonlinear Image Filtering with Edge and Corner Enhancement," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 8, pp. 826-833, Aug. 1992, doi:10.1109/34.149593
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