References
- [1] K. Rajakumar and T. Arivoli, “Implementation of Multiwavelet Transform Coding for Lossless Image Compression”, in Proc, of International Conference on Information Communication Embedded Systems Chennai, 2013.
- [2] B. Kai and X. Xiang-Gen, “Image Compression Using a New Discrete Multiwavelet Transform A New Embedded Vector Quantization, IEEE Transactions on Circuits Systems for Video Technology, vol. 10, no. 6, pp. 833-842, 2000.
- [3] N. Sriraam and R. Shyamsunder, “3-D Medical Image Compression Using 3-D Wavelet Coders”, Digital Signal Processing, vol. 21, no. 1, pp. 100-109, 2011.
- [4] O. Kováč, P. Lukacs, and I. Gladišová, “Textures classification based on DWT”, Radioelektronika - 28th International Conference, Prague, 2018.
- [5] O. Kováč and I. Gladišová, “Multifocal images fusion”, Acta Electrotechnica et Informatica, vol. 17, no. 3, pp. 22-26, 2017.
- [6] T. S. Anand and P. Saravanan, “Performance evaluation of image fusion using the multi-wavelet curvelet transforms”, in IEEE-International Conference On Advances Engineering Science And Management, 2012.
- [7] S. Bhatnagar and R. C. Jain, “Application of Discrete Multiwavelet Transform in Denoising of Mammographic Images”, Indian Journal of Science Technology, vol. 29, no. 4, pp. 1613-1641, 2016.
- [8] V. Bajaj and R. B. Pachori, “Detection of human emotions using features based on the multiwavelet transform of EEG signals”, Brain-Computer Interfaces, pp. 215-240, 2015.
- [9] D. Levický, M. Broda, and V. Hajduk, “Universal statistical steganalytic method”, Journal of Electrical Engineering, vol. 68, no. 2, pp. 117-124, 2017.
- [10] J. Oravec, J. Turán, and L’. Ovseník, “DWT Steganography with Usage of Scrambling”, Carpathian Journal of Electronic Computer Engineering, vol. 9, no. 1, pp. 26-29, 2016.
- [11] T.-C. Hsung, D. Lun, Y.-H. Shum, and K. Ho, “Generalized Discrete Multiwavelet Transform with Embedded Orthogonal Symmetric Prefilter Bank”, IEEE Transactions on Signal Processing, vol. 55, no. 12, pp. 5619-5629, 2007.
- [12] C. Chui and J. Lian, “A Study of Orthonormal Multi-Wavelets”, Applied Numerical Mathematics, vol. 20, no. 3, pp. 273-298, 1996.
- [13] V. Kolev, T. Cooklev, and F. Keinert, “Matrix spectral factorization for SA4 multiwavelet”, Multidimensional Systems Signal Processing, vol. 29, no. 4, pp. 1613-1641, 2018.
- [14] O. Kováč, J. Mihalík, and I. Gladišová, “Convolution implementation with a novel approach of DGHM multiwavelet image transform”, Journal of Electrical Engineering, vol. 68, no. 6, pp. 455-462, 2017.
- [15] X.-G. Xia, J. S. Geronimo, D. P. Hardin, and B. W. Suter, “Design of prefilters for discrete multiwavelet transforms”, IEEE Transactions on signal processing, vol. 44, no. 1, pp. 25-35, 1996.
- [16] M. B. Martin and A. E. Bell, “New image compression techniques using multiwavelets multiwavelet packets”, EEE Transactions on image processing, vol. 10, no. 4, pp. 500-510, 2001.
- [17] G. Donovan, J. Geronimo, D. Hardin, and P. Massopust, “Construction of Orthogonal Wavelets Using Fractal Interpolation Functions”, SIAM Journal on Mathematical Analysis, vol. 27, no. 4, pp. 1158-1192, 1996.
- [18] L. Shen, H. H. Tan, and A. J. Y. Tham, “Symmetric-antisymmetric Orthonormal Multiwavelets Related Scalar Wavelets”, Applied Computational Harmonic Analysis, vol. 8, no. 3, pp. 258-279, 2000.
- [19] H. Guoping and M. Lingjuan, “Cycle-slip detection of GPS carrier phase with methodology of SA4 multi-wavelet transform”, Chinese Journal of Aeronautics, vol. 25, no. 2, pp. 227-235, 2012.
- [20] V. Strela and A. T. Walden, “Orthogonal biorthogonal multiwavelets for signal denoising image compression”, Wavelet Applications V, vol. 3391, pp. 96-108, 1998.
- [21] S. Radhakrishnan and J. Subramaniam, “Novel Image Compression Using Multiwavelets with SPECK Algorithm”, The International Arab Journal of Information Technology, vol. 5, no. 1, 2008.
- [22] The USC-SIPI Image Database, University of Southern California [Online] http://sipi.usc.edu/database [Cit, 27 02 2019].
- [23] J. Lebrun and I. Selesnick, “Gröbner bases wavelet design”, Journal of Symbolic Computation, vol. 37, no. 2, pp. 227-259, 2004.
- [24] J. Zavacký and J. Mihalík, “An Algorithm for Calculation of Wavelets by using Quadrature Mirror Filters Bank”, Acta Elektronica at Informatika, vol. 5, no. 1, pp. 42-50, 2005.