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Brilliant Tutorials Electronics & Communication Engineering by Brilliant Tutorials Chennai

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Baraniuk, Wavelet-domain approximation and compression of piecewise smooth images, IEEE Trans. Image Process. 15 (5) (2006) 1071–1087. [240] G. Peyre´, S. Mallat, Orthogonal bandlet bases for geometric images approximation, Commun. Pure Appl. Math. 61 (9) (2008) 1173–1212. [241] G. Plonka, The easy path wavelet transform: a new adaptive wavelet transform for sparse representation of two-dimensional data, Multiscale Model. Simul. 7 (3) (2009) 1474–1496. J. Cande s, Compressive sampling, in: Proceedings of the International Congress of Mathematicians, vol.

Stat. 27 (3) (1999) 859–897. [233] R. L. N. Do, M. Vetterli, Rate-distorsion optimized tree-structured compression algorithms for piecewise polynomial images, IEEE Trans. Image Process. 14 (3) (2005) 343–359. A. S. Lee, D. Zonoobi, Hierarchical segmentationbased image coding using hybrid quad-binary trees, IEEE Trans. Image Process. 18 (6) (2009) 1284–1291. [235] F. Friedrich, L. Demaret, H. Fuhr, K. Wicker, Efficient moment computation over polygonal domains with an application to rapid wedgelet approximation, SIAM J.

172] M. -O. Lachaud, F. Feschet, Multiscale discrete geometry, in: Proceedings of the IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, Springer, Montre´al, Que´bec Canada 2009, pp. 118–131. T. H. Adelson, Steerable filters for early vision, image analysis and wavelet decomposition, in: Proceedings of the IEEE International Conference on Computer Vision1990, pp. 406–415. T. H. Adelson, The design and use of steerable filters, IEEE Trans.

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