Local adaptive filtering of images corrupted by nonstationary noise

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7245, Issue , 2009, Pages

  Lukin, Vladimir V ^a   Fevralev, Dmitriy V ^a   Ponomarenko, Nikolay N ^a   Pogrebnyak, Oleksiy B ^b   Egiazarian, Karen O ^c   Astola, Jaakko T ^c  

^a NATIONAL AEROSPACE UNIVERSITY   (Ukraine)

^b INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Locally adaptive filtering; Non stationary noise; Remote sensing

Indexed keywords

FILTER EFFECTIVENESS; LOCAL MEAN; LOCAL PROPERTY; LOCALLY ADAPTIVE FILTERING; NOISE REMOVAL; NOISE STATISTICS; NON-STATIONARY NOISE; NONSTATIONARY; POLARIMETRIC RADARS; RADAR REMOTE SENSING; REMOTE SENSING IMAGES; SIMULATED DATA; STANDARD DEVIATION;

ADAPTIVE FILTERS; COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; ELECTRIC FILTERS; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; MARINE RADAR; REMOTE SENSING;

ADAPTIVE FILTERING;

EID: 66749135117     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.805298     Document Type: Conference Paper

References (35)

1. Barton D.K., Radar System Analysis and Modeling, Artech House, USA, 2005.
2. G.P. Kulemin, A.A. Zelensky, J.T. Astola, V.V. Lukin, K.O. Egiazarian, A.A. Kurekin, N.N. Ponomarenko, S.K. Abramov, O.V. Tsymbal, Y.A. Goroshko, and Y.V. Tarnavsky, Methods and Algorithms for Pre-processing and Classification of Multichannel Radar Remote Sensing Images, TICSP Series #28, Dec. 2004, ISBN 952-15-1293-8, Tampere, Finland, TTY Monistamo, 116 p.
3. C. Lopez-Martinez, E. Pottier, On the Extension of Multidimensional Speckle Noise Model from Single-Look to Multilook SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No 2, 2007, pp. 305-320.
4. Hyperspectral Data Exploitation: Theory and Applications, Edited by Chein-I Chang, Wiley-Interscience, 2007.
5. Lukin V., Ponomarenko N., Bunaeva I., M. A. Matar, Post-processing of multilook and sequentially formed images in radar and ultrasonic coherent systems, CD-ROM Proceedings of the 46th IEEE International MidWest Symp. on Circuits and Systems, Cairo, Egypt, Dec. 2003 - Jan. 2004, 7 p.
6. R. Lukac, K.N. Plataniotis, B. Smolka, and A.N. Venetsanopoulos, cDNA Microarray Image Processing Using Fuzzy Vector Filtering Framework, Journal of Fuzzy Sets and Systems: Special Issue on Fuzzy Sets and Systems in Bioinformatics, 152, no. 1, pp. 17-35, May 2005.
7. Nonlinear Signal and Image Processing: Theory, Methods, and Applications(Electrical Engineering & Applied Signal Processing Series), Ed. by K. Barner and G. Arce, CRC Press, 2003, 560 p.
8. J. Astola, P. Kuosmanen, Fundamentals of nonlinear digital filtering, CRC Press LLC, Boca Raton, USA, 1997.
9. V.V. Lukin, N.N. Ponomarenko, S.K. Abramov, B. Vozel, K. Chehdi, J. Astola, Filtering of radar images based on blind evaluation of noise characteristics, Proceedings of Image and Signal Processing for Remote Sensing XIV, Cardiff, UK, Sept 2008, SPIE Vol. 7109, 12 p.
10. C. Oliver, S. Quegan, Understanding Synthetic Aperture Radar Images, SciTech Publishing, 2004.
11. Touzi R., A Review of Speckle Filtering in the Context of Estimation Theory, IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No 11, pp. 2392-2404, 2002.
12. A. Barducci, D. Guzzi, P. Marcoinni, and I. Pippi, CHRIS-Proba performance evaluation: signal-to-noise ratio, instrument efficiency and data quality from acquisitions over San Rossore (Italy) test site, Proceedings of the 3-rd ESA CHRIS/Proba Workshop, Italy, 11 p., March 2005.
13. Kulemin G.P., Millimeter-Wave Radar Targets and Clutter, Artech House, London-Boston, 342 p., 2003.
14. Tsymbal O.V., Lukin V.V., Ponomarenko N.N., Zelensky A.A., Egiazarian K.O., Astola J.T., Three-state Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing, EURASIP Journal on Applied Signal Processing, No 8, pp. 1185-1204, May 2005.
15. S. Mallat, A Wavelet tour of signal processing, Academic Press, San Diego, 1998.
16. V.V. Lukin, R. Oktem, N. Ponomarenko, K. Egiazarian, Image filtering based on discrete cosine transform, Telecommunications and Radio Engineering, 66, No 18, pp. 1685-1701, 2007.
17. M.C. Motwani, M.C. Gadiya, R.C. Motwani, F. C. Harris, "Survey of Image Denoising Techniques", Proceedings of GSP2004, Santa Clara, CA, September 27-30, 2004.
18. R. Oktem, K. Egiazarian, V. Lukin, N. Ponomarenko, O. Tsymbal, Locally Adaptive DCT Filtering for Signal-Dependent Noise Removal, EURASIP Journal on Advances in Signal Processing, Article ID 42472, 10 p., 2007.
19. L. Klaine, B. Vozel, K. Chehdi, An Integro Differential Method for Adaptive Filtering of Additive or Multiplicative Noise, Proc. of ICASSP, pp. 1001-1004, 2005.
20. F. Argenti, G. Torricelli, L. Alparone, "Signal dependent noise removal in the undecimated wavelet domain", Proc. ICASSP, pp. 3293-3296, 2002.
21. A. Foi, Pointwise Shape-Adaptive DCT Image Filtering and Signal-Dependent Noise Estimation: Thesis for the degree of Doctor of Technology, Tampere University of Technology, Tampere, Finland, Dec. 2007.
22. Carton-Vandecandelaere, M.-P., Vozel, B., Klaine, L., Chehdi, K., Application to Multispectral Images of a Blind Identification System for Blur, Additive, Multiplicative and Impulse Noises. Proceedings of EUSIPCO, V. III (2002) 283-286.
23. Fevralev D.V., Lukin V.V., Totsky A.V., Egiazarian K., Astola J., Combined bispectrum filtering technique for signal shape estimation with DCT based adaptive filter, Proceedings of the 2006 International TICSP Workshop on Spectral Methods and Multirate Signal Processing, SMMSP2006, Florence, Italy, Sept 2006, pp. 133-140.
24. S. Abramov, V. Lukin, A. Zelensky, J. Astola, Use of inter-quantile distance estimation in image processing, Proc. SPIE Conf. on Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, SPIE Vol. 6315, San Diego, USA, 2006, 12 p.
25. Lukin V.V., Koivisto P.T., Ponomarenko N.N., Abramov S.K., Astola J.T., Two-stage Methods for Mixed Noise Removal, CD-ROM Proceedings of EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP), Japan, 6 p., May 2005.
26. Sun T., Gabbouj M., Neuvo Y. Center weighted median filters: some properties and their applications in image processing, Signal Processing, Vol. 35, No 3, pp. 213-229, 1994.
27. Oktem R. "Transform Domain Algorithms for Image Compression and Denoising", Thesis for the degree of Doctor of Technology, Tampere (Finland), Tampere University of Technology, 2000.
28. N.N. Ponomarenko, V.V. Lukin, A.A. Zelensky, P.T. Koivisto, K.O. Egiazarian, 3D DCT Based Filtering of Color and Multichannel Images, Telecommunications and Radio Engineering, No 15, pp. 1369-1392, 2008.
29. V. V. Lukin, D. V. Fevralev, S. K. Abramov, S. Peltonen, J. Astola, Adaptive DCT-based 1-D filtering of Poisson and mixed Poisson and impulsive noise, CD ROM Proceedings of LNLA, Switzerland, 8 p., August 2008.
30. Melnik V.P., Lukin V.V., Zelensky A.A., Astola J.T., Kuosmanen P., Local Activity Indicators: Analysis and Application to Hard-Switching Adaptive Filtering of Images, Optical Engineering Journal, 40, No 8, pp. 1441-1455, 2001.
31. L. Sendur, I.W. Selesnick, Bivariate shrinkage with local variance estimation, IEEE Signal Processing Letters, 9, No 12, pp. 438-441, 2002.
32. N.N. Ponomarenko, V.V. Lukin, S.K. Abramov, K.O. Egiazarian, J.T. Astola, Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients, Proceedings of International Conference "Image Processing: Algorithms and Systems II, SPIE 5014, Santa Clara (CA, USA), pp. 178-189, 2003.
33. AVIRIS Home page, http://aviris.jpl.nasa.gov/, Accessed Jan 6, 2007.
34. N. Ponomarenko, V. Lukin, M. Zriakhov, A. Kaarna, Preliminary automatic analysis of characteristics of hyperspectral AVIRIS images, Proceedings of MMET, Ukraine, pp. 158-160, 2006.
35. E. Christophe, D. Leger, and C. Mailhes, Quality criteria benchmark for hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, 43, No 9, pp. 2103-2114, Sept 2005.