17 January 2008 Smoothing of optical images using a partial differential equation
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Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 67235G (2008) https://doi.org/10.1117/12.783775
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China
Abstract
Image smoothing is realized by using a FHN (FitzHugh Nagumo) model which is a typical partial differential equation. The model exhibits three characteristics of dynamics: excitable, Turing/Hopf instability, and bistable. In the bistable region diffusion process in space leads to the availability of image smoothing and decides the smoothing effects. After comparing with average filter and median filter it is found that the effects of image smoothing by FHN model are as good as that by other filters. Results show that this approach is effective to image smoothing.
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Huijuan Wang, "Smoothing of optical images using a partial differential equation", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67235G (17 January 2008); doi: 10.1117/12.783775; https://doi.org/10.1117/12.783775
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