Abstract
For the imaging condition restriction, nature images sometimes have the problem with low contrast and low illumination. In order to solve those problems, we proposed a novel image enhancement algorithm based on multi-scale fuzzy membership. The images will be firstly decomposed into multi-scale sub images by Laplacian pyramid and then be enhanced through calculating the fuzzy membership degree under multi-scale. Finally the edge-preserving image denoising will be conducted by bilateral filter to realize the effectively enhancement of the nature images. The experimental result shows that the proposed algorithm also can be used in X-ray medical image enhancement and achieves a better effect compared with the traditional method and has certain theoretical and practical application value.
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Acknowledgments
This work was supported by the Natural Science Foundation in Gansu province Grant Nos. (1112RJZA033, 2011GS04165). We would like to thank the anonymous reviewers for their comments.
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Li, C., Zhou, Y., Ouyang, C. (2013). A Novel Method of Image Enhancement via Multi-Scale Fuzzy Membership. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38466-0_65
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DOI: https://doi.org/10.1007/978-3-642-38466-0_65
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