Abstract
A region-based fuzzy shock filter with anisotropic diffusion is presented for image noise removal and edge sharpening. An image is divided into three-type different regions according to image features. For different regions, a binary shock-type backward diffusion or a fuzzy backward diffusion is performed in the gradient direction to the isophote line, incorporating a forward diffusion in the tangent direction. Gaussian smoothing to the second normal derivative results in a robust process against noise. Experiments on real images show that this method produces better visual results of the enhanced images than some related equations.
This work is supported by the national natural science fund, China (No. 60472033), the Key Laboratory Project of Information Science & Engineering of Railway of National Ministry of Railways, China (No. TDXX0510), and the Technological Innovation Fund of Excellent Doctorial Candidate of Beijing Jiaotong University, China (No. 48007).
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Fu, S., Ruan, Q., Wang, W., Chen, J. (2006). Region-Based Fuzzy Shock Filter with Anisotropic Diffusion for Adaptive Image Enhancement. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_133
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DOI: https://doi.org/10.1007/978-3-540-37258-5_133
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