Algorithm about speckle noise filtering in active laser imaging

2014 ◽  
Author(s):  
Chao Wang ◽  
Yong-tao Li ◽  
He Chen ◽  
Zhao-xian Liang ◽  
Yun Lan
Author(s):  
Yongxin Jiang ◽  
Xiaotong Wang ◽  
Xiaogang Xu ◽  
Xiyong Ye

2013 ◽  
Vol 13 (03) ◽  
pp. 1350015 ◽  
Author(s):  
LEYZA BALDO DORINI ◽  
NEUCIMAR JERÔNIMO LEITE

In this work, we formalize an alternative way to build self-dual morphological filters that extends some results obtained for morphological centers to a different class of toggle operators. Thus, a wider range of primitives can be considered without causing oscillations, a common problem in toggle mappings. We also show that the combination of the morphological filters generated by using the proposed approach with the well-known anisotropic diffusion technique yields sound results where homogeneous regions are smoothed without degrading edge information. We explore the filtering of speckle noise, an interference pattern that causes a granular aspect in the image, thus limiting its interpretation and making it difficult further image processing tasks. Experimental tests on both synthetic and real-world images show promising results when compared to some well-known methods related to this type of filtering.


Author(s):  
L. Böröczky ◽  
R. Fioravanti ◽  
S. Fioravanti ◽  
D. D. Giusto

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