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Convolution implementation with a novel approach of DGHM multiwavelet image transform

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[1] K. Rajakumar and T. Arivoli, “Implementation of Multiwavelet Transform Coding for Lossless Image Compression”, Proc. of International Conference on Information Communication and Embedded Systems (ICICES), Chennai, 2013, pp. 634–637.10.1109/ICICES.2013.6508286Search in Google Scholar

[2] K. Bao and X. G. Xia, “Image Compression Using a New Discrete Multiwavelet Transform and a New Embedded Vector Quantization”, IEEE Trans. on Circuits and Systems for Video Technology, vol. 10, no. 6, 2000, pp. 833–842.10.1109/76.867920Search in Google Scholar

[3] N. Sriraam and R. Shyamsunder, “3-D Medical Image Compression Using 3-D Wavelet Coders”, Digital Signal Processing, vol. 21, no. 1, 2011, pp. 100–109.10.1016/j.dsp.2010.06.002Search in Google Scholar

[4] J. Mihalík, J. Zavacký and J. Dzivý, “Perfect Reconstruction 2DQMF Bank for Subband Image Coding”, Journal of Electrical Engineering, vol. 47, no. 7-8, 1996, pp. 195–201.Search in Google Scholar

[5] O. Kováč and J. Mihalík, “Lossless Encoding of 3D Human Head Model Textures”, Acta Electrotechnica et Informatica, vol. 15, no. 3, 2015, pp. 18–23.10.15546/aeei-2015-0024Search in Google Scholar

[6] B. E. Usevitch, “A Tutorial on Modern Lossy Wavelet Image Compression: Foundations of JPEG 2000”, IEEE Signal Processing Mag., vol. 18, no. 5, 2001, pp. 22–35.10.1109/79.952803Open DOISearch in Google Scholar

[7] M. B. Martin and A. E. Bell, “New Image Compression Techniques Using Multiwavelets and Multiwavelet Packets”, IEEE Trans. on Image Processing, vol. 10, no. 4, 2001, pp. 500–510.10.1109/83.913585Search in Google Scholar

[8] W. Kim and Ch. Li, “On Preconditioning Multiwavelet System for Image Compression”, International Journal of Wavelets, Multiresolution and Information Processing, vol. 1, no. 1, 2003, pp. 51–74.10.1142/S0219691303000049Search in Google Scholar

[9] F. Keinert, “”, Wavelets and Multiwavelets, Champan & Hall/CRC, 2004.10.1201/9780203011591Search in Google Scholar

[10] C. K. Chui and J. A. Lian, “A Study of Orthonormal Multi wavelets”, Applied Numerical Mathematics, vol. 20, no. 3, 1996, pp. 273–298.10.1016/0168-9274(95)00111-5Search in Google Scholar

[11] T. Ch. Hsung, D. P. Lun, Y. Shum and K. C. Ho, “Generalized Discrete Multiwavelet Transform with Embedded Orthogonal Symmetric Prefilter Bank”, IEEE Transactions on Signal Processing, vol. 55, no. 12, 2007, pp. 5619–5629.10.1109/TSP.2007.901650Search in Google Scholar

[12] R. Kusum and R. Sharma, “Study of Image Fusion Using Discrete Wavelet and Multiwavelet Transform”, International Journal of Innovative Research Computer and Communication Engineering, vol. 1, no. 4, 2013, pp. 95–99.Search in Google Scholar

[13] G. C. Donovan, J. S. Geronimo, D. P. Harding and P. R. Massopust, “Connstruction of Orthogonal Wavelets Using Fraction Interpolation Functions”, SIAM Journal on Mathematical Analysis, vol. 27, no. 4, 1996, pp. 1158–1192.10.1137/S0036141093256526Open DOISearch in Google Scholar

[14] L. Wei, “An Image Coding Method Based on Multi Wavelet Transform”, 4th International Conference on Image and Signal Processing, vol. 2, 2011, pp. 607–610.Search in Google Scholar

[15] V. Strela, P. Heller, G. Strang, P. Topiwala and C. Heil, “The Application of Multiwavelet Filter Banks to Signal and Image Processing”, IEEE Trans. Image Processing, vol. 8, no. 4, 1999, pp. 548–563.10.1109/83.75374218262898Search in Google Scholar

[16] T. S. Anand, K. Narasimhan and P. Saravanan, “Performance Evaluation of Image Fusion Using the Multi Wavelet and Curvelet Transforms”, IEEE International Conference on Advances Engineering, Science and Management (ICAESM), 2012, pp. 121–129.Search in Google Scholar

[17] D. Dia et al, “Multi-level Discrete Wavelet Transform Architecture Design”, Proceedings of the World Congress on Engineering, WCE 2009, vol. I., London, U.K., 2009, pp. 1–2.Search in Google Scholar

[18] J. Y. Tham, L. X. Shen, S. L. Lee and H. H. Tan, “A General Approach for Analysis and Application of Discrete Multiwavelet Transforms”, IEEE Trans. on Signal Processing, vol. 48, no. 2, 2000, pp. 457–464.10.1109/78.823972Open DOISearch in Google Scholar

[19] I. Ram, M. Elad and I. Cohen, “Generalized Tree Based Wavelet Transform”, IEEE Transactions on Signal Processing, vol. 59, no. 9, 2011, pp. 4199–4210.10.1109/TSP.2011.2158428Search in Google Scholar

[20] D. P. Hardin and D. W. Roach, “Multi-Wavelet Prefilters part I :Orthogonal Prefilters Pre serving Approximation Order”, IEEE Transactions on Circuits and Systems II, vol. 45, 1998, pp. 1106–1112.10.1109/82.718820Search in Google Scholar

[21] K. Hardin, D. P. Attakitmongcol and D. M. Wilkes, “Multi-wavelet Prefilters – part II: Optimal Orthogonal Prefilters”, IEEE Trans. on Image Processing, vol. 10, 2001, pp. 1476–1487.10.1109/83.95153418255492Search in Google Scholar

[22] G. Iovane and P. Giordano, “Wavelets and Multiresolution Analysis: Nature of ε(∞) Cantorian Space Time”, Chaos Solitons & Fractals, vol. 32, 2007, pp. 896–910.10.1016/j.chaos.2005.11.097Open DOISearch in Google Scholar

[23] A. Fathi and A. R. N. Nilchi, “Efficient Image Denoising Method Based on a New Adaptive Wavelet Packet Thresholding Function”, IEEE Transaction of Image Processing, vol. 21, no. 9, 2012, pp. 3981–3990.10.1109/TIP.2012.220049122645265Open DOISearch in Google Scholar

eISSN:
1339-309X
Lingua:
Inglese
Frequenza di pubblicazione:
6 volte all'anno
Argomenti della rivista:
Engineering, Introductions and Overviews, other