Abstract
This paper presents a new image denoising scheme by combining the shearlet shrinkage and improved total variation (TV). According to the artifacts that appear in the result image after applying shearlet denoising approach, the image is further denoised by a TV model, which is improved on the fidelity term. Experiments show that the proposed scheme can remove image noise and preserve the edge texture. Meanwhile, it can remove Gibbs-like artifacts effectively and has lower computational complexity.
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© 2012 Springer-Verlag Berlin Heidelberg
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Li, Y., Chen, Rm., Liang, S. (2012). A New Image Denoising Method Based on Shearlet Shrinkage and Improved Total Variation. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_49
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DOI: https://doi.org/10.1007/978-3-642-31919-8_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31918-1
Online ISBN: 978-3-642-31919-8
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