An efficient method for impulse noise reduction from images using fuzzy cellular automata

2012 ◽  
Vol 66 (9) ◽  
pp. 772-779 ◽  
Author(s):  
Sana Sadeghi ◽  
Alireza Rezvanian ◽  
Ebrahim Kamrani
Keyword(s):  
Cellular Automata ◽  
Noise Reduction ◽  
Efficient Method ◽  
Impulse Noise ◽  
Fuzzy Cellular Automata

scholarly journals Impulse Image Noise Reduction Using Fuzzy-Cellular Automata Method

2014 ◽  
Vol 6 (2) ◽  
pp. 191-195 ◽  
Author(s):  
A. Sargolzaei ◽  
K. K Yen ◽  
K. Zeng ◽  
S. M. A. Motahari ◽  
S. Noei
Keyword(s):  
Cellular Automata ◽  
Noise Reduction ◽  
Image Noise ◽  
Image Noise Reduction ◽  
Fuzzy Cellular Automata

Accelerating fuzzy cellular automata for modeling crowd dynamics

2019 ◽  
Vol 32 ◽  
pp. 125-140 ◽  
Author(s):  
Ioannis Gerakakis ◽  
Prodromos Gavriilidis ◽  
Nikolaos I. Dourvas ◽  
Ioakeim G. Georgoudas ◽  
Giuseppe A. Trunfio ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Crowd Dynamics ◽  
Fuzzy Cellular Automata

Modelling urban sprawl using fuzzy cellular automata model for the city of Jaipur

2018 ◽  
Vol 10 (4) ◽  
pp. 285
Author(s):  
Pushpendra Singh Sisodia ◽  
Rajveer Singh Shekhawat ◽  
Vivekanand Tiwari
Keyword(s):  
Cellular Automata ◽  
Urban Sprawl ◽  
Cellular Automata Model ◽  
Fuzzy Cellular Automata ◽  
The City

scholarly journals Study and Analysis of Impulse Noise Reduction Filters

2011 ◽  
Vol 2 (1) ◽  
pp. 82-92 ◽  
Author(s):  
Geoffrine Judith.M.C ◽  
N Kumarasabapathy
Keyword(s):  
Noise Reduction ◽  
Impulse Noise

scholarly journals An efficient Scheme to Remove Low Density Impulse Noise From A Digital Image

2016 ◽  
Vol 15 (12) ◽  
pp. 7284-7289
Author(s):  
Dr. Jihad N. Abdeljalil Al-Balqa
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Low Density ◽  
Salt And Pepper Noise ◽  
Reduction Scheme ◽  
Iir Filter ◽  
Noise Impulse ◽  
Efficient Scheme ◽  
Adaptive Noise ◽  
Salt And Pepper

An improved adaptive noise reduction scheme for images that are highly corrupted by Salt-and-Pepper noise(impulse noise), is proposed in this paper which efficiently removes the salt and pepper noise while preserving the details. The proposed scheme efficiently identifies and reduces salt and pepper noise. The algorithm utilizes an IIR filter with controlled parameters to get better image quality than the existing methods of noise removing. A comparative analysis between the proposed scheme and other techniques of noise reduction or removing is presented in order to show the advantages of the proposed scheme in removing the noisy pixels and producing a better PSNR.

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