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- W4234008314 abstract "Most of the recent work on inhomogeneous diffusion in image filtering focuses on diffusing the isotope curve. We present a less familiar approach to the development of inhomogeneous diffusion algorithms in which the image is regarded as a surface in three-space. The magnitude of the surface normal controls a diffusion that evolves the image surface at a speed proportional to its mean curvature. A discrete algorithm to implement this proposed diffusion is introduced, and we show experimentally that the algorithm develops singularities that reveal, preserve, and enhance the underlying signal. If the input signal is an isolated noisy edge, this leads to complete noise removal and enhancement without affecting the edge locality. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8, 450–456, 1997" @default.
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- W4234008314 date "1997-01-01" @default.
- W4234008314 modified "2023-09-26" @default.
- W4234008314 title "Inhomogeneous surface diffusion for image filtering" @default.
- W4234008314 doi "https://doi.org/10.1002/(sici)1098-1098(1997)8:5<450::aid-ima6>3.3.co;2-c" @default.
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