Abstract
Many algorithms based on wavelets have been shown to work well in image compression. However, the results are not good enough to meet the applications because wavelets cannot simultaneously possess all of the desirable properties such as symmetry, orthogonality, compact support and high approximation order, etc. Offering these features simultaneously as the extension from wavelets, multiwavelets can give better results in signal denoising as well as image compression. This paper will show a method of a quantizer for image compression of algae cell using multiwavelets, which simply combines the SPIHT and EZW coder. The experimental results demonstrate that our method exhibits better performance than the existing ways for image compression such as scalar wavelets or other traditional transforms.
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References
Goodman, T.N.T, Lee, S.L, Tang,: Wavelets in wandering subspaces. Trans. Amer. Math. Soc. 338(1), 639–654 (1993)
Geronimo, J.S., Hardin, D.P., Massopus, P.R.: Fractal Functions and Wavelet Expansions Based on Several Scaling Functions. J. of Approx Theory 78, 373–401 (1994)
Tham, J.Y., Shen, L., Lee, S.L.: A General Approach for Analysis and Application of Discrete Multiwavelet Transforms. IEEE Trans. Signal Processing 48(2), 457–464 (2000)
Cotronei, M., Lazzaro, D., Montefusco, L.B., Puccio, L.: Image Compression Through Embedded Multiwavelet Transform Coding. IEEE Trans. Signal Processing 9(2), 184–189 (2000)
Shen, L., Hwee, H.T.: On a Family of Orthonormal Scalar Wavelets and Related Balanced Multiwavelets. IEEE Trans on Signal Processing 49(7), 1447–1453 (2001)
Amir, S., William, A.P.: A New, Fast, and Efficient Image Code Based on Set Partitioning in Hierarchical Trees. IEEE Trans. On Circ.and Syst. For Vidco Tch. 6(3), 243–250 (1996)
Jerome, M.S.: Embedded Image Coding Using Zerotrees of Wavelet Coefficients. IEEE Trans. On Image Proc. 41(12), 3445–3462 (1993)
Xia, T., Jiang, Q.: Optimal Multifilter Banks: Design, Related Symmetric Extension Transform and Application to Image Compression (preprint) (1998)
Strela, V., et al.: The Application of Multiwavelet Filter Banks to Image Processing. IEEE Trans IP (1997)
Daphne, T.R., Silverman, W.: The Discrete Multiple Wavelet Transform and Thresholding Methods. IEEE Trans SP 46(9), 2558–2561 (1998)
Michael, Martin, Amy, E.B.: New Image Compression Techniques Using Multiwavelets and Multiwavelet Packets IEEE Trans on Image processing 10(4), 500–510 (2001)
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Xu, L., Ji, G., Wang, N., Zheng, H. (2007). An Approach for Image Compression of Algae Cell Using Multiwavelets. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_93
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DOI: https://doi.org/10.1007/978-3-540-74282-1_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
Online ISBN: 978-3-540-74282-1
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