Abstract
For an anisotropic image, wavelets lose their effects on singularity detection because discontinuities across edges are spatially distributed. Based on the idea of curvelet, a new digital curvelet reconstruction algorithm is proposed. Our algorithm provides sparser representations and keeps low computational complexity. When applying it to the image denoising, much better results than the original algorithm are obtained.
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© 2006 Birkhäuser Verlag Basel/Switzerland
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Bai, J., Feng, XC. (2006). Image Denoising by a Novel Digital Curvelet Reconstruction Algorithm. In: Qian, T., Vai, M.I., Xu, Y. (eds) Wavelet Analysis and Applications. Applied and Numerical Harmonic Analysis. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-7778-6_19
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DOI: https://doi.org/10.1007/978-3-7643-7778-6_19
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-7777-9
Online ISBN: 978-3-7643-7778-6
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