Abstract
In this paper, we propose a new approach for designing the biorthogonal wavelet filters (BWFs) of Dual-Tree Complex Wavelet Transform (DTCWT). Proposed approach provides an effective way to handle the frequency response characteristics of these filters. This is done by optimizing the free variables obtained using factorization of generalized halfband polynomial (GHBP). The designed filters using proposed approach have better frequency response characteristics than those obtained by using binomial spectral factorization approach. Also, their associated wavelets show improved analyticity in terms of qualitative and quantitative measures. Transform-based image denoising using the proposed filters shows better visual as well as quantitative performance.
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References
Fierro, M., Ha, H.G., Ha, Y.H.: Noise reduction based on partial-reference, dual-tree complex wavelet transform Shrinkage. IEEE Trans. Image Process. 22(5), 1859–1872 (2013)
Rabbani, H., Gazor, S.: Video denoising in three-dimensional complex wavelet domain using a doubly stochastic modelling. IET Image Process. 6(9), 1262–1274 (2012)
Anantrasirichai, N., Achim, A., Kingsbury, N.G., Bull, D.R.: Atmospheric turbulence mitigation using complex wavelet-based fusion. IEEE Trans. Image Process. 22(6), 2398–2408 (2013)
Asikuzzaman, M., Alam, M.J., Lambert, A.J., Pickering, M.R.: Robust DT-CWT based DIBR 3D video watermarking using chrominance embedding. IEEE Trans. Multimedia 18(9), 1733–1748 (2016)
Kingsbury, N.: Image processing with complex wavelets. Philos. Trans. R. Soc. London A: Math. Phy. Eng. Sci. 357(1760), 2543–2560 (1999)
Kingsbury, N.: Complex wavelets for shift invariant analysis and filtering of signals. Appl. Comput. Harmonic Anal. 10(3), 234–253 (2001)
Selesnick, I.W.: Hilbert transform pairs of wavelet bases. IEEE Sig. Process. Lett. 8(6), 170–173 (2001)
Selesnick, I.W.: The design of approximate Hilbert transform pairs of wavelet bases. IEEE Trans. Sig. Process. 50(5), 1144–1152 (2002)
Selesnick, I.W., Baraniuk, R.G., Kingsbury, N.C.: The dual-tree complex wavelet transform. IEEE Sig. Process. Mag. 22(6), 123–151 (2005)
Tay, D.B.H.: Designing Hilbert-pair of wavelets: recent progress and future trends. In: 6th International Conference on Information Communication & Signal Processing, pp. 1–5. IEEE (2007)
Chaux, C., Duval, L., Pesquet, J.C.: Image analysis using a dual-tree M-band wavelet transform. IEEE Trans. Image Process. 15(8), 2397–2412 (2006)
Chaux, C., Pesquet, J.C., Duval, L.: 2D dual-tree complex biorthogonal M-band wavelet transform. In: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP 2007, vol. 3, pp. III-845. IEEE (2007)
Yu, R., Ozkaramanli, H.: Hilbert transform pairs of orthogonal wavelet bases: necessary and sufficient conditions. IEEE Trans. Sig. Process. 53(12), 4723–4725 (2005)
Yu, R., Ozkaramanli, H.: Hilbert transform pairs of biorthogonal wavelet bases. IEEE Trans. Sig. Process. 54(6), 2119–2125 (2006)
Thiran, J.P.: Recursive digital filters with maximally flat group delay. IEEE Trans. Circ. Theory 18(6), 659–664 (1971)
Patil, B.D., Patwardhan, P.G., Gadre, V.M.: On the design of FIR wavelet filter banks using factorization of a halfband polynomial. IEEE Sig. Process. Lett. 15, 485–488 (2008)
Daubechies, I., et al.: Ten Lectures on Wavelets, vol. 61. SIAM, Philadelphia (1992)
Tay, D.B., Kingsbury, N.G., Palaniswami, M.: Orthonormal Hilbert-pair of wavelets with (almost) maximum vanishing moments. IEEE Sig. Process. Lett. 13(9), 533–536 (2006)
Lightstone, M., Majani, E., Mitra, S.K.: Low bit-rate design considerations for wavelet-based image coding. Multidimension. Syst. Sig. Process. 8(1–2), 111–128 (1997)
Rahulkar, A.D., Patil, B.D., Holambe, R.S.: A new approach to the design of biorthogonal triplet half-band filter banks using generalized half-band polynomials. Signal Image Video Process. 8(8), 1451–1457 (2014)
Selesnick, I.W.: http://eeweb.poly.edu/iselesni/WaveletSoftware/. Accessed 04 Aug 2014
Sendur, L., Selesnick, I.W.: Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. IEEE Trans. Sig. Process. 50(11), 2744–2756 (2002)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
Zhang, L., Zhang, L., Mou, X., Zhang, D.: FSIM: a feature similarity index for image quality assessment. IEEE Trans. Image Process. 20(8), 2378–2386 (2011)
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Gajbhar, S.S., Joshi, M.V. (2018). Design of Biorthogonal Wavelet Filters of DTCWT Using Factorization of Halfband Polynomials. In: Rameshan, R., Arora, C., Dutta Roy, S. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2017. Communications in Computer and Information Science, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-0020-2_14
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DOI: https://doi.org/10.1007/978-981-13-0020-2_14
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