Abstract
A statistical noise model and a mathematical model for real speckle pattern are presented in this paper, and then, in view of the models, a new adaptive suboptimal image filtering approach is proposed. The proposed approach, with the local direction features of speckle pattern, combines the characteristics of optimal linear filter with non-linear filter and is an adaptive approximation to linear minimum mean square error filter. Experimental results show that the proposed approach has fairly good edge-preserved performance, compared with other present image filters, as well as much better filtering performance and robustness for speckle pattern.
Similar content being viewed by others
References
W. K. Pratt, Digital Image Processing, New York, John Wiley and Sons Inc., 1978, 223–273.
D. T. Kuan, A. A. Sawchuk et al.,IEEE Trans. on ASSP,ASSP-35 (1987) 3, 373–382.
D. T. Kuan, A. A. Sawchuk et al.,IEEE Trans. on PAMI,PAMI-7 (1985) 3, 165–177.
R. K. Erf., Speckle Metrology, Academic Press Inc., 1978.
Yu Xiaohan, Yuan Baozhong,Acta Automatica Sinica,16 (1990) 4, 347–351, (in Chinese).
Zhou Xinglun,Journal of China Institute of Communications,4 (1983) 2, 51–58, (in Chinese).
G. A. Mastin,Compu. Vis. Graph. & Image Proces.,31 (1985) 1, 103–121.
T. R. Crimmins,Applied Optics,24 (1985) 10, 1438–1443.
Ding Runtao,Acta Electronica Sinica,17 (1989) 5, 40–46, (in Chinese).
Author information
Authors and Affiliations
Additional information
Supported by the National Natural Science Foundation.
About this article
Cite this article
Yibing, Y., Zhenya, H. A statistical noise model and mathematical model of speckle pattern and adaptive filtering approach. J. of Electron. (China) 12, 24–32 (1995). https://doi.org/10.1007/BF02684564
Issue Date:
DOI: https://doi.org/10.1007/BF02684564