Abstract
Shearlet is a new multidimensional and multiscale transform which is optimally efficient in representing image containing edges. In this paper an adaptive shrinkage threshold for image de-noising in shearlet domain is proposed. Experimental results show that images de-noised with the proposed approach had higher qualities than those produced with some of the other denoising methods like wavelet-based, bandlet-based, shearlet-based and curvelet-based.
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CITATION STYLE
Islam, S. M. R., Huang, X., & Le, K. (2014). A novel adaptive shrinkage threshold on shearlet transform for image denoising. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8836, pp. 127–134). Springer Verlag. https://doi.org/10.1007/978-3-319-12643-2_16
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