A Study and Analysis of Speckle Reduction Method in Digital Holography
Keywords:
Image denoising, Speckle reduction, Bi-dimensional empirical mode decomposition, Frost filterAbstract
Image denoising has become a very essential in the case of noisy images for better information extraction. On the other hand, processed image must reserve the relevant details of the primary image. This noise suppression is very useful in many applications. Speckle noise is one of the major noises causing digital hologram. So we need some mechanism for denoising the noisy content by preserving the valuable information. This paper presents a comparative study on BEMD (bi-dimensional empirical mode decomposition) and MBEMD (multilevel bi-dimensional empirical mode decomposition) along with the frost filter.
References
A Cheremkhin, I. A.Shevkunov, N. V. Petrov, “Multiple-wavelength color digital holography for monochromatic image reconstruction,” 4th International Conference on Photonics and Information Optics, PhIo 2015, pp.28–30 January 2015.
P. Memmolo, V. Bianco, F. Merola, L. Miccio, M.Paturzo, P. Ferraro, ”Breakthroughs in photonics 2013: Holographic imaging”, vol. 6, no. 2, April 2014
J. W. Goodman and R. W. Lawrence, “Digital image formation from electronically detected holograms,” Appl. Phys. Lett. 11(3), pp.77–79, 1967.
A. Uzan, Y. Rivenson, and A. Stern, “Speckle denoising in digital holography by nonlocal means filtering,” Appl. Opt., vol. 52, pp. A195–A200, 2013.
G. Rilling, P. Flandrin, and P. Gonalvs, “On empirical mode decomposition and its algorithms,” in Proc. 6th IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP ‘03), Grado, Italy, 2003.
J.C. Nunes, O. Niang, Y. Bouaoune, E. Delechelle, Ph. Bunel, “Image analysis by bidimensional empirical mode decomposition”, Image and Vision Computing, pp. 1019–1026, April 2003
R. Piccolo, M. Leo, C. Distante, P. Memmolo, M. Paturzo, and P. Ferraro, “Multilevel bidimensional empirical mode decomposition: A new speckle reduction method in digital holography,” Opt. Eng., vol. 53, no.11, p. 112314, 2014.
Pasquale Memmolo, Marco Leo, Cosimo Distante, Melania Paturzo and Pietro Ferraro,“Coding Color Three-Dimensional Scenes and Joining Different Objects by Adaptive Transformations in Digital Holography”, journal of display technology, vol. 11, No. 10, October 2015
V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, “A model for radar images and its application to adaptive digital filtering of multiplicative noise,” IEEE Trans. Pattern Anal. Machine Intell.,vol. 4, no. 2, pp.157–166, Feb.1982.
Y. Sheng and Z.G. Xia, “A comprehensive evaluation of filters for radar speckle suppression,” in Proc. Int. Geoscience and Remote Sensing Symposium, IGARSS ‘96. ‘Remote Sensing for a Sustainable Future, pp. 1559–1561, 1996.
M. Mansourpour, M. A. Rajabi, and J. A. R. Blais, “Effect and performance of speckle noise reduction filter on active RADAR and SAR images,” in Proc. ISPRS, Ankara, Turkey, 2006.
Sumit Kuswaha and Dr. Rabindra Kumar Singh, “Study of various image noises and teir behaviour,” in International Journal of Computer Sciences and Engineering, E-ISSN:2347-2693, vol. 3, issue 3, March 2015.
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