Valery A. Zheludev


Professor

School of Computer Science

Tel Aviv University
Tel Aviv 69978, Israel

Email: zhel@tauex.tau.ac.il
Work Tel: +972 3 640 7952
Work Fax: +972 3 640 9373
Mobile Tel: +972 545329622

 

Research Interests

Wavelets, frames, subdivision schemes, signal/image/audio processing, approximation theory, seismic processing, pattern recognition.

Some publications

    Vol. I: book information
      Vol. II: book information
        Vol. III: book information
        1. Analytic and directional wavelet packets in the space of periodic signals (with A. Averbuch, P. Neittaanmaki) Applied and Computational Harmonic Analysis, 2023, 67(11) https://doi.org/10.1016/j.acha.2023.06.006.
        2. Directional wavelet packets originating from polynomial splines (with A. Averbuch, P. Neittaanmaki) Advances in Computational Mathematics, 2023, 49:19 https://doi.org/10.1007/s10444-023-10024-4.
        3. An hybrid denoising algorithm based on directional wavelet packets (with A. Averbuch, P. Neittaanmaki, M. Salhov, J. Hauser) Multidimensional Systems and Signal Processing, 2022, https://doi.org/10.1007/s11045-022-00836-w.
        4. Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets (with A. Averbuch, P. Neittaanmaki, M. Salhov, J. Hauser) preprint in http://arxiv.org/abs/2206.04431 [eess.IV]
        5. Image inpainting using directional wavelet packets (with A. Averbuch, P. Neittaanmaki, M. Salhov, J. Hauser), Signal Processing: Image Communication, 2021, preprint in http://https://arxiv.org/abs/2001.04899
        6. Analytic and directional wavelet packets (with A. Averbuch, P. Neittaanmaki)13th International conference on Sampling Theory and Applications (SampTA), Expanded Abstracts, 2019.
        7. Directional wavelet packets originating from polynomial splines (with A. Averbuch, P. Neittaanmaki) submitted, preprint in http://https://arxiv.org/abs/2008.05364
        8. Analytic and directional wavelet packets in the space of periodic signals (with A. Averbuch, P. Neittaanmaki) submitted, preprint in arXiv:1907.01479, 2019.
        9. Design of binary phase diffusers for a Compressed Sensing snapshot spectral imaging system with two cameras (with A. Averbuch, J. Hauser, M. Golub, M. Nathan, S. Gurevitch, O. Inbar) J. of Modern Optics, 2019, https://doi.org/10.1080/09500340.2019.1567839.
        10. DD-Net: spectral imaging from a monochromatic dispersed and diffused snapshot (with A. Averbuch, J. Hauser, A. Zeligman, M. Nathan) Applied Optics, 59(36), 11196-11208, 2020
        11. Dual-camera snapshot spectral imaging with pupil-domain optical diffuser and compressed sensing algorithms (with A. Averbuch, J. Hauser, M. Golub, M. Nathan, M. Kagan) Applied Optics, 59(4), 1058-1070, 2020.
        12. High-photon throughput snapshot color imaging using a monochromatic digital camera and and a pupil domain diffuser (with A. Averbuch, J. Hauser, M. Golub, M. Nathan, S. Gurevitch, O. Inbar) J. of Modern Optics, 2019, https://doi.org/10.1080/09500340.2019.1567839.
        13. Local cubic splines on non-uniform grids and real-time computation of wavelet transform (with A. Averbuch, P. Neittaanmaki, E. Shefi) Advances in Comput. Math., 43(4), 733-758, 2017.
        14. Compressed sensing snapshot spectral imaging by a regular digital camera with an added optical diffuser (with M. Golub, M. Nathan, A. Averbuch,, J. Hauser, S. Gurevitch, R. Malinsky, A. Kagan) Applied Optics, 55(3), 432-443, 2016.
        15. Fast computation by subdivision of multidimensional splines and their applications (with A. Averbuch, G. Shabat and P. Neittaanmaki ) Pure and Applied Functional Analysis, 1(3), 2016 .
        16. Periodic spline-based frames for image restoration (with A. Averbuch, P. Neittaanmaki) Inverse Problems in Imaging, vol. 9 no. 3, 661-707, 2015
        17. Delineation of Malignant Skin Tumors by Hyperspectral Imaging Using Diffusion Maps Dimensionality Reduction (with I. Polonen, N. Neittaanmaki-Perttu,, A. Averbuch, P. Neittaanmaki, M. Gronroos, H. Saari ) Biomedical Signal Processing and Control, 16 (2015) 48-60.
        18. LCT-wavelet based algorithms for data compression, (with A. Averbuch, M. Guttmann, D. D. Kosloff) International Journal of Wavelets, Multiresolution and Information Processing, 11, No. 5, (2013).
        19. Dimensionality reduction for detection of moving vehicles, (with A. Averbuch, N. Rabin, A. Schclar) Pattern Analysis and Applications, 15, (2012), 19-27.
        20. Block based deconvolution algorithm using splinewavelet packets, ((with A. Averbuch, P. Neittaanmaki, J. Koren)), Mathematical Imaging and Vision, (2010), 38: 197-225.
        21. Spectral multiplexing method for digital snapshot spectral imaging, (with M. A. Golub, M. Nathan, A. Averbuch, E. Lavi,), Appl. Opt. 48, 1520-1526 (2009).
        22. Acoustic detection and classification of river boats (with A. Averbuch, P. Neittaanm(aki, P. Wartiainen, K. Huoman and K. Janson), Applied Acoustics, 72/1, (2011), 22-34.
        23. Unmixing and Target Recognition in Airborne Hyper-Spectral Images (with Amir Z. Averbuch, and Michael V. Zheludev), Earth Science Research, 1, No. 2 (2012), 200-228.
        24. A ternary interpolatory subdivision scheme originated from splines (with Amir Z. Averbuch, Garry B. Fatakhov and Eduard H. Yakubov), International Journal of Wavelets, Multiresolution and Information Processing, 9, No. 4 (2011), 611–-633.
        25. A diffusion framework for detection of moving vehicles (with Amir Averbuch K. Hochman, N. Rabin and A. Schclar), Digital Signal Processing, 20, No.1, pp. 111-122, 2010.
        26. Deconvolution by Matching Pursuit using spline wavelet packets dictionaries (with A. Averbuch and M. Khazanovsky), Applied and Computational Harmonic Analysis, 31 (2011) 98–124.
        27. Wavelet-based acoustic detection of moving vehicles (with Amir Averbuch, Neta Rabin and Alon Schclar), Multidimensional Systems and Signal Processing, 20, pp.55-80, 2009.
        28. Computation of interpolatory splines via triadic subdivision (with Amir Averbuch,), Advances in Comp. Math., Volume 32, Issue 1 (2010), 63-72 .
        29. Automatic identification of hyperspectral data -- construction of unique signature (with A. Averbuch, N. Ben-Gigi, O. Braun, Y. Zur and A. Schclar), submitted.
        30. Spline-based deconvolution (with A. Averbuch), Signal Processing, 89, pp. 1782-1797, 2009.
        31. Wavelet and frame transforms originated from continuous and discrete splines (with Amir Averbuch), in the book "Advances in Signal Transforms. Theory and applications", J. Astola and L. Yaroslavsky eds. ,  pp. 1-56, Hindawi Publishing Corp., NY, 2007.
        32. Interpolatory frames in signal space (with Amir Averbuch), IEEE Trans. Sign. Proc., 54(6), pp.2126-2139, 2006.
        33. Tight and sibling frames originated from discrete splines (with Amir Averbuch and Tamir Cohen), Signal Processing, v. 86, (2006), 1632-1647.
        34. Wavelet transforms generated by splines (with Amir Averbuch), International Journal of Wavelets, Multiresolution and Information Processing,5(2),257-292, 2007.
        35. Multiwavelet frames in signal space originated from Hermite splines (with Amir Averbuch and Tamir Cohen), IEEE Trans. Sign. Proc., 55(3),(2007), 797-808.
        36. Symmetric interpolatory framelets and their error erasure recovery properties ((with Amir Averbuch and Tamir Cohen and O. Amrani) International Journal of Wavelets, Multiresolution and Information Processing, 5(4), 541-566, 2007.
        37. Wavelet transforms generated by splines (with Amir Averbuch), extended preprint.
        38. Interpolatory subdivision schemes with infinite masks originated from splines Advances in Comp. Math., vol.25., 475-506.
        39. Identification of acoustic signatures for vehicles via reduction of dimensionality (with A. Averbuch, E. Hulata, I. Kozlov) Int. Journ. of Wavelets, Multiresolution and Inf. Proc., vol.2, no.1, (2004), 1-22.
        40. Compression of segmented 3d seismic data (with D. Kosloff, and E. Ragoza), Int. Journ. on Wavelets, Multiresolution and Inf. Proc., vol.2, no.3, (2004), 269-281.
        41. Usage of wavelet analysis for the detection of seismogenic ULF emission, (with L. Alperovich , V. Zheludev, M. Hayakawa), RADIO SCIENCE, VOL. 38, NO. 6, 1093, 20I:10.1029/2002RS002687, 2003
        42. Interpolatory subdivision schemes generated by splines (with A. Averbuch and Marina Gruzd), Proc. 5th AFA Conference on Curves and Surfaces
        43. A new family of spline based biorthogonal wavelet transforms and their application to image compression (with A. Averbuch ), IEEE Trans. Image Proc., vol 13, No. 7, pp. 993-1007, July 2004
        44. Splines: a new contribution to wavelet analysis (with A. Averbuch ), Proc. Algorithms for Approximation IV,
        45. Wavelet packet based algorithm for identification of quasi-periodic signals (with A. Averbuch, I. Kozlov ), Proc. SPIE {\bf 4478,}, Wavelet Applications in Signal and Image Processing IX, (A. Aldroubi, A. F. Laine; M. A. Unser; Eds.) 353-360 (2001).
        46. A library of biorthogonal wavelet transforms originated from polynomial splines (with A. Averbuch ), Proc. SPIE {\bf 4478,}, Wavelet Applications in Signal and Image Processing IX, (A. Aldroubi, A. F. Laine; M. A. Unser; Eds.) 323-334 (2001).
        47. Image compression using spline based wavelet transforms (with A. Averbuch ) in "Wavelets in Signal and Image Processing: From Theory to Practice", F. Meyer and A. Petrosian - Editors, Kluwer Academic Press, 2001,
        48. Butterworth wavelet transforms derived from discrete interpolatory splines: Recursive implementation (with A. Averbuch, A. B. Pevnyi ), Signal Processing, 81 (2001), 2363-2383
        49. Biorthogonal Butterworth wavelets derived from discrete interpolatory splines. (with A. Averbuch, A. B. Pevnyi ), IEEE Trans. Sign. Proc., {\bf 49}, No.11, November 2001, 2682-2692
        50. Fast Kirchhoff migration in wavelet domain, (with D. Kosloff, E. Ragoza ), Exploration Geophysics, \textbf{33}, (2002), 23-27.
        51. Kirchhoff migration using wavelet transform. (with E. Y. Ragoza, D. D. Kosloff, and V. I. Meshbey ), submitted to Geophysics
        52. Construction of biorthogonal wavelet scheme using interpolatory splines (with A. Averbuch), Applied and Comp. Harmonic Analysis, {\bf 12}, (2002), 25-56.
        53. Lifting scheme for biorthogonal multiwavelets originated from Hermite splines (with A. Averbuch), IEEE Trans. Sign. Proc. {\bf 50}, No.3 March 2002, 487-500.
        54. Interpolatory biorthogonal multiwavelet transforms (with A. Averbuch), Proc. of the Conf. Trends in Approximation Theory 2000.
        55. A wavelet packet algorithm for classification and detection of moving vehicles (with A. Averbuch, E. Hulata, I. Kozlov) Multidimensional Systems and Signal Processing, {\bf12(1)}, 2001, 9-31.
        56. Wavelet based algorithm for acoustic detection of moving ground and airborne targets,(with A. Averbuch, I. Kozlov} Proc. SPIE {\bf 4119,}, Wavelet Applications in Signal and Image Processing VII, (A. Aldroubi, A. F. Laine; M. A. Unser; Eds.) (2000)
        57. A lifting scheme of biorthogonal wavelet transform based on discrete interpolatory splines,(with A. Averbuch, A. Pevnyi} Proc. SPIE {\bf 4119,}, Wavelet Applications in Signal and Image Processing VII, (A. Aldroubi, A. F. Laine; M. A. Unser; Eds.) (2000)
        58. On the interpolation by discrete splines with equidistant nodes,(with A.Pevnyi), J. Appr. Th., 102, (2000), 286-301
        59. Construction of wavelet analysis in the space of discrete splines using Zak transform, (with A.Pevnyi) Journ. Fourier Anal. Appl. v.8, No.1, 2002, 55-77
        60. Integral representation of slowly growing equidistant splines, Approximation Theory and Applications, {\bf 14}, no. 4, (1998), 66-88
        61. Wavelet analysis in spaces of slowly growing splines via integral representation, Real Analysis Exchange, {\bf 24}, (1998/99), 229-261.
        62. Periodic splines, harmonic analysis and wavelets. in ``Signal and Image representation in Combined Spaces, 477--509, Wavelet Anal. Appl., 7,'' (eds. Y. Y. Zeevi and R. Coifman), Academic Press, San Diego, CA, 1998.
        63. Local splines of defect 1 on a uniform mesh, Siberia Journ. of Compurer Math., {\bf 1/2}, (1992), 123-156.
        64. On the approximation on finite intervals and local splines extrapolation, (with M. Suturin), Russian J. Numer. Anal. Math. Modelling, {\bf 9/1}, (1994), 75-89.
        65. An operational calculus connected with periodic splines, Soviet. Math. Dokl., {\bf 42/1}, (1991), 162-167.
        66. Spline Harmonic Analysis and Wavelet Bases, Proc. Symp. Appl. Math., (ed. W. Gautcshi), AMS, {\bf 49}, (1994), 415-419.
        67. Asymptotic formulas for local spline approximation on a uniform mesh, Soviet Math. Dokl.,, {\bf 27}, (1983), 415-419.
        68. Periodic splines and the fast Fourier transform, Comput. Math. and Math Phys., {\bf 32}, (1991), 149-165.
        69. Spline-operational calculus and inverse problem for heat equation, Proc. Int. Conf. Approximation Theory, Kecskemet, Hungary, 1990, (J. Szabados, K. Tandoi eds.,), Colloq. Math. Soc. J.Bolyai,{\bf 58}, (1991), 763-783.
        70. Periodic splines and wavelets, Contemporary Mathematics, AMS,{\bf 190}, (1995), 339-354.
        71. Wavelets based on periodic splines, Russian Acad.Sci. Doklady, Mathematics,{\bf 49}, (1994), 216-222.

          Last Modified: November, 30, 2020

          Comments to: Valery Zheludev(zhel@tauex.tau.ac.il)