Abstract
Quality enhancement of radar images is highly related to speckle noise reduction. There are plenty of such techniques that have been developed by different authors. However, a definitive method has not been already attained. Filtering methods are popular to reduce speckle noise. This paper introduces a new method based on filtering a smoothed local pseudo-Wigner distribution using a local Rényi entropy measure. Results are compared to other well-known noise reduction filtering methods for artificially degraded speckle images and real world image examples. Experimental results confirm that this method outperforms other classical speckle denoising methods.
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Lee, J.S.: Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. Pattern Anal. Machine Intell. PAMI-2, 165–168 (1980)
Frost, V.S., Stiles, J.A., Shanmugan, K.S., Holtzman, J.C.: A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Machine Intell. PAMI-4(2), 157–166 (1982)
Kuan, D.T., Sawchuck, A.A., Strand, T.C., Chavel, P.: Adaptive restoration of images with speckle. IEEE Trans. Acoustics, Speech Signal Processing, PAMI-4 ASSP-35(3), 373–383 (1987)
Cohen, L.: Generalized phase-space distribution functions. J. Math. Physics 7, 781–786 (1966)
Wigner, E.: On the quantum correction for thermodynamic equilibrium. Phys. Rev. 40, 749–759 (1932)
Jacobson, L.D., Wechsler, H.: Joint spatial/spatial-frequency representation. Signal Process 14, 37–68 (1988)
Claasen, T.A.C.M., Mecklenbrauker, W.F.G.: The Wigner distribution–A Tool for Time Frequency Analysis, Parts I-III. Philips J. Research 35, 217–250, 276-300, 372-389 (1980)
Brenner, K.H.: A discrete version of the Wigner distribution function. In: Proc. EURASIP, Signal Processing II: Theories and Applications, pp. 307–309 (1983)
Rényi, A.: Some fundamental questions of information theory. In: Turán, P. (ed.) Selected Papers of Alfréd Rényi, vol. 3, pp. 526–552, Akadémiai Kiadó, Budapest, Originally MTA III, Oszt. Kazl, 10 (1960) pp. 251-282 (1976)
Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. The University of Illinois Press, Urbana (1949)
Stankovic, L.: A measure of some time-frequency distributions concentration. Signal Processing 81, 621–631 (2001)
Sang, T.H., Williams, W.J.: Rényi information and signal dependent optimal kernel desig. In: Proceedings of the ICASSP, vol. 2, pp. 997-1000 (1995)
Williams, W.J., Brown, M.L., Hero, A.O.: Uncertainity, information and time-frequency distributions. In: SPIE Adv. Signal Process. Algebra Arch. Imp., vol. 1566, pp. 144–156 (1991)
Flandrin, P., Baraniuk, R.G., Michel, O.: Time-frequency complexity and information. In: Proceedings of the ICASSP, vol. 3, pp. 329–332 (1994)
Pitton, J., Loughlin, P., Atlas, L.: Positive time-frequency distributions via maximum entropy deconvolution of the evolutionary spectrum. In: Proc. ICASSP, vol. IV, pp. 436-439 (1993)
Eisberg, R., Resnick, R.: Quantum Physics. Wiley, Chichester (1974)
Ponomarenko, N., Lukin, V., Zelensky, A., Egiazarian, K., Carli, M., Battisti, F.: TID2008 - A Database for Evaluation of Full-Reference Visual Quality Assessment Metrics. Advances of Modern Radioelectronics 10, 30–45 (2009)
Hamza, P.B., Luque-Escamilla, P.L., Martínez-Aroza, J., Román-Roldán, R.: Removing Noise and Preserving Details with Relaxed Median Filters. Journal of Mathematical Imaging and Vision 11(2), 161–177 (1999)
Yu, Y., Acton, S.T.: Speckle reducing anisotropic difusion. IEEE Transactions on Image Processing 11(11), 1260–1270 (2002)
Lesmo, L., Mazzei, A., Radicioni, D.P.: Ontology based interlingua translation. In: Gelbukh, A. (ed.) CICLing 2011, Part II. LNCS, vol. 6609, pp. 1–12. Springer, Heidelberg (2011)
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Gabarda, S., Cristóbal, G. (2011). Speckle Denoising through Local Rényi Entropy Smoothing. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23678-5_40
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DOI: https://doi.org/10.1007/978-3-642-23678-5_40
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