Abstract
A general formulation based on the variation of digitized energy to denoise image is proposed in this paper. This method is different from classical variational method employed in image processing. For a digitized energy functional, we first compute the variation, then design algorithms leading to digital filters. Numerical experiments and comparative examples are thus carried out to verify the effectiveness of the proposed method, which is efficient, adaptive and easily implemented. Higher quality images can be obtained with characteristic singular features preserved. The method can be easily expanded to multichannel image denoising.
Project is supported by Beijing Educational Committee Foundation (KM200811232009) and NSFC grant 60773165 and National Key Basic Research Project of China (2004CB318000).
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Zhang, Q., Sun, J., Xu, G. (2008). Noise Removal Based on the Variation of Digitized Energy. In: Chen, F., Jüttler, B. (eds) Advances in Geometric Modeling and Processing. GMP 2008. Lecture Notes in Computer Science, vol 4975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79246-8_22
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DOI: https://doi.org/10.1007/978-3-540-79246-8_22
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