Genetic Algorithm Assisted Wavelet Noise Reduction Scheme for Chaotic Signals

2011 ◽  
Vol 151 (3) ◽  
pp. 646-653 ◽  
Author(s):  
Xiao Hong Han ◽  
Xiao Ming Chang
2016 ◽  
Vol 15 (12) ◽  
pp. 7284-7289
Author(s):  
Dr. Jihad N. Abdeljalil Al-Balqa

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.


Author(s):  
MOULOUD ADEL ◽  
DANIEL ZUWALA ◽  
MONIQUE RASIGNI ◽  
SALAH BOURENNANE

A noise reduction scheme on digitized mammographic phantom images is presented. This algorithm is based on a direct contrast modification method with an optimal function, obtained by using the mean squared error as a criterion. Computer simulated images containing objects similar to those observed in the phantom are built to evaluate the performance of the algorithm. Noise reduction results obtained on both simulated and real phantom images show that the developed method may be considered as a good preprocessing step from the point of view of automating phantom film evaluation by means of image processing.


2012 ◽  
Vol 19 (6) ◽  
pp. 1837-1842 ◽  
Author(s):  
S. Jafari ◽  
S.M.R. Hashemi Golpayegani ◽  
A.H. Jafari

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