Heuristic wavelet shrinkage for denoising

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 256-264

  Liu, Chan Cheng ^a   Sun, Tsung Ying ^b   Tsai, Shang Jeng ^b   Yu, Yu Hsiang ^b   Hsieh, Sheng Ta ^c  

^a ACADEMIA SINICA   (Taiwan)

^b NATIONAL DONG HWA UNIVERSITY   (Taiwan)

^c ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Blind signal separation; Noise reduction; Particle swarm optimization; Wavelet shrinkage

Indexed keywords

BLIND SIGNAL SEPARATION; COMPLETE SOLUTIONS; CONVENTIONAL FILTERS; DE-NOISING; NOISE REDUCTIONS; OBJECTIVE FUNCTIONS; PARTICLE SWARM; PRIOR KNOWLEDGE; RECEIVED SIGNALS; SOURCE SIGNALS; WAVELET COEFFICIENTS; WAVELET SHRINKAGE; WAVELET THRESHOLD;

ACOUSTIC NOISE MEASUREMENT; NOISE POLLUTION CONTROL; SHRINKAGE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77957901868     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.11.016     Document Type: Article

References (29)

1. A.K. Jain Fundamentals of Digital Image Processing 1989 Prentice-Hell Englewood Cliffs, NJ
2. R.J. Bobber Interference versus frequency in measurements in a shallow lake Journal of the Acoustical Society of America 33 9 1961 1211 1215
3. D.N. Gujarati Basic Econometrics 2nd ed. 1988 McGraw-Hill New York
4. Y. Li, F.L. Chung, and S. Wang A robust neuro-fuzzy network approach to impulse noise filtering for color images Applied Soft Computing 8 2008 872 884
5. M. Han, Y. Liu, J. Xi, and W. Guo Noise smoothing for nonlinear time series using wavelet soft threshold IEEE Signal Processing Letters 14 1 2007 62 65
6. P.L. Ainsleigh, and C.K. Chui A B-wavelet-based noise-reduction algorithm IEEE Transactions on Acoustics, Speech, and Signal Processing 44 5 1996 1279 1284
7. M.A. Gs Navarro, and G.E. Flores-Verdad Continuous time denoising system using an analog implementation of the wavelet transform Proceedings of the 6th International Caribbean Conference on Devices, Circuits and Systems 2006 121 124
8. O. Rioul, and M. Vetterli Wavelet and signal processing IEEE Signal Processing Magazine 8 4 1991 14 38
9. D.L. Donoho, and M.I. Johnstone Ideal spatial adaptation via wavelet shrinkage Biometrika 81 1994 425 455
10. A. Baussard, F. Nicolier, and F. Truchetet Rational multiresolution analysis and fast wavelet transform: application to wavelet shrinkage denoising Signal Processing 84 2004 1735 1747
11. S.G. Chang, B. Yu, and M. Vetterli Adaptive wavelet thresholding for image denoising and compression IEEE Transactions on Image Processing 9 9 2000 1532 1546
12. C.J.F. ter Braak Bayesian sigmoid shrinkage with improper variance priors and application to wavelet denoising Computational Statistics & Data Analysis 51 2006 1232 1242
13. J. Liu, and P. Moulin Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients IEEE Transactions on Image Processing 10 11 2001 1647 1658
14. C. Zanchettin, and T.B. Ludermir Wavelet filter for noise reduction and signal compression in an artificial nose Applied Soft Computing 7 2007 246 256
15. Y. Chen, and C. Han Adaptive wavelet threshold for image denoising Electronics Letters 41 10 2005 586 587
16. D.L. Donoho De-noising by soft-thresholding IEEE Transactions on Information Theory 41 3 1995 613 627
17. D.L. Donoho, and M.I. Johnstone Adapting to unknown smoothness via wavelet shrinkage Journal of the American Statistical Association 90 432 1995 1200 1224
18. M. Jiang, D. Yuan, Z. Jiang, and M. Wei Determination of wavelet denoising threshold by PSO and GA Proceedings of the IEEE Symposium on MAPE 2 2005 1426 1429
19. S.T. Hsieh, T.Y. Sun, C.L. Lin, and C.C. Liu Effective learning rate adjustment of blind source separation based on an improved particle swarm optimizer IEEE Transactions on Evolutionary Computation 12 2 2008 242 251
20. S.T. Lou, and X.D. Zhang Fuzzy-based learning rate determination for blind source separation IEEE Transactions on Fuzzy System 11 3 2003 375 383
21. P. Quan, Z. Lei, D. Guanzhong, and Z. Hongai Two denoising methods by wavelet transform IEEE Transactions on Acoustics, Speech, and Signal Processing 47 12 1999 3401 3406
22. S.G. Chang, Y. Bin, and M. Vetterli Wavelet thresholding for multiple noisy image copies IEEE Transactions on Image Processing 9 9 2000 1631 1635
23. S.G. Chang, B. Yu, and M. Vetterli Image denoising via lossy compression and wavelet thresholding Proceedings of the IEEE Conference on Image Processing 1 1997 604 607
24. R.C. Eberhart, and J. Kennedy A new optimizer using particle swarm theory Proceedings of the Sixth International Symposium on Micro Machine and Human 1995 39 43
25. Y. Shi, and R.C. Eberhart A modified particle swarm optimizer Proceedings of the IEEE World Congress on Computational Intelligence 1998 69 73
26. Y. Jin, K. Joshua, H. Lu, Y. Liang, and B.K. Douglas The landscape adaptive particle swarm optimizer Applied Soft Computing 8 2008 295 304
27. Y. Tan, and Z.M. Xiao Clonal particle swarm optimization and its applications Proceedings of the IEEE Congress on Evolutionary Computation 2007 2303 2309
28. T. Xiang, J. Wang, and X. Liao An improved particle swarm optimizer with momentum Proceedings of the IEEE Congress on Evolutionary Computation 2007 3341 3345
29. J.J. Liang, A.K. Qin, P.N. Suganthan, and S. Baskar Comprehensive learning particle swarm optimizer for global optimization of multimodal functions IEEE Transactions on Evolutionary Computation 10 2006 281 296