Improvement of IIR filter discretization for fractional order filter by discrete stochastic optimization

Author(s):  
Abdullah Ates ◽  
Gurkan Kavuran ◽  
Baris Baykant Alagoz ◽  
Celaleddin Yeroglu
2019 ◽  
Vol 100 (1) ◽  
pp. 215-219 ◽  
Author(s):  
Panagiotis Bertsias ◽  
Costas Psychalinos ◽  
Ahmed S. Elwakil ◽  
Karabi Biswas

2019 ◽  
Vol 13 ◽  
pp. 174830181983305 ◽  
Author(s):  
Yafeng Yang ◽  
Donghong Zhao

In this paper, we propose a model that combines a total variation filter with a fractional-order filter, which can unite the advantages of the two filters, and has a remarkable effect in the protection of image edges and texture details; simultaneously, the proposed model can eliminate the staircase effect. In addition, the model improves the PSNR compared with the total variation filter and the fractional-order filter when removing noise. Zhu and Chan presented the primal-dual hybrid gradient algorithm and proved that it is effective for the total variation filter. On the basis of their work, we employ the primal-dual hybrid gradient algorithm to solve the combined model in this article. The final experimental results show that the new model and algorithm are effective for image restoration.


2012 ◽  
Vol 43 (11) ◽  
pp. 818-827 ◽  
Author(s):  
A. Soltan ◽  
A.G. Radwan ◽  
Ahmed M. Soliman

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