Image empirical mode decomposition: A new tool for image processing

Advances in Adaptive Data Analysis

Volumn 1, Issue 2, 2009, Pages 265-294

  Linderhed, Anna ^a  

^a SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

Author keywords

BEMD; compression; EMD; empiquency; HHT; IEMD; image coding; Image processing; instantaneous frequency; noise reduction; quadrature filter; texture; variable sampling

Indexed keywords

BEMD; EMD; EMPIQUENCY; HHT; IEMD; INSTANTANEOUS FREQUENCY; NOISE REDUCTIONS; QUADRATURE FILTERS; VARIABLE SAMPLING;

DATA COMPRESSION; IMAGING SYSTEMS; SIGNAL PROCESSING;

IMAGE CODING;

EID: 77957835093     PISSN: 17935369     EISSN: 17937175     Source Type: Journal    
DOI: 10.1142/S1793536909000138     Document Type: Article

References (20)

1. N. E. Huang, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond. A 454 (1998) 903-995. (Pubitemid 128733183)
2. A. Linderhed, 2D empirical mode decompositions in the spirit of image compression, in Wavelet and Independent Component Analysis Applications IX (Orlando Fl, 2002).
3. G. Rilling, P. Flandrin and P. Goncalvès, On empirical mode decomposition and its algorithms, in Workshop on Nonlinear Signal and Image Processing NSIP-03(Grado (I), 2003).
4. A. Linderhed, Adaptive image compression with wavelet packets and empirical mode decomposition, in Department of Electrical Engineering, Ph. D. thesis, Linköping University, Linköping, 2004, pp. 226.
5. A. Linderhed, Image compression based on empirical mode decomposition, in Proceedings of SSBA Symposium on Image Analysis, SSBA'04 (Uppsala, 2004).
6. A. Linderhed, Variable sampling of the empirical mode decomposition of twodimensional signals, Intern. J. Wavelet. Multiresol. Inform. Process. (IJWMIP) (Sp. Iss. Sampling Problems Related to Wavelet Theory and Time-Frequency Analysis), 3 (2005) pp. 435-452.
7. J. C. Nunes, Y. Bouaoune, E. Delechelle, O. Niang and P. Bunel, Image analysis by bidimensional empirical mode decomposition, Image Vision Comput. 21 (2003) 1019-1026.
8. Lindeberg, Edge detection and ridge detection with automatic scale selection, Int. J. Comput. Vision 30 (2) (1998).
9. C. Damerval, S. Meignen and V. Perrier, A fast algorithm for bidimensional EMD, Signal Process. Lett. IEEE 12 (2005) 701-704. (Pubitemid 41448579)
10. Y. Xu, B. Liu, J. Liu and S. Riemenschneider, Two-dimensional empirical modedecomposition by finite elements, Proc. R. Soc. A 462 (2006) 3081-3096. (Pubitemid 44619994)
11. Z. Liu, H. Wang and S. Peng, Texture segmentation using directional empirical mode decomposition, in Int. Conf. Image Process. (ICIP) (2004), Vol. 1, pp. 279-282. (Pubitemid 40820912)
12. Z. Liu and S. Peng, Boundary processing of bidimensional EMD using texture synthesis, IEEE Signal Process. Lett. 12 (2005) 33-36. (Pubitemid 40085275)
13. H. F. Harmuth, Transmission of Information by Orthogonal Functions (Springer-Verlag, Berlin/Heidelberg, 1969).
14. G. H. Granlund and H. Knutsson, Signal Processing for Computer Vision (Kluwer Academic Press, 1995).
15. M. Unser, Spline, a perfect fit for signal and image processing, IEEE Signal Process. Mag. (1999).
16. A. Linderhed, Compression by image empirical mode decomposition, in Int. Conf. Image Process. (ICIP) (Genoa, Italy, 2005), Vol. 1, pp. 553-556. (Pubitemid 44538701)
17. S. R. Long, Applications of HHT in image analysis, in Hilbert-Huang Transform and Its Applications, eds. N. E. Huang and S. S. P. Shen (World Scientific, New Jersey, 2005), pp. 289-305.
18. X. Chang-Zhen, X. Jun-Yi, Z. Jian-Cheng and Q. Dong-Xu, Texture classification based on EMD and FFT, J. Zhejiang Univ. Sci. A 7 (9) (2006) 1516-1521.
19. H. Knutsson, Filtering and reconstruction in image processing, Ph. D. thesis, Linköping University, Sweden, 1982. Diss. No. 88.
20. C.-C. Chang and C.-J. Lin, LIBSVM: A library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.