Empirical exploration achievement of noise removal algorithm based on Trilateral filter for both Gaussian and impulsive noise ambiance

2016 ◽  
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Impulsive Noise ◽  
Noise Removal ◽  
Trilateral Filter

scholarly journals An Empirical Evaluation of the Parameters of Trilateral Filter for Noise Removal Implementation on Gaussian and Impulsive Noise

2017 ◽  
Vol 11 (2) ◽  
pp. 190-202
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Gaussian Noise ◽  
Impulsive Noise ◽  
Median Filter ◽  
Power Level ◽  
Empirical Evaluation ◽  
Poor Performance ◽  
Bilateral Filter ◽  
Noise Removal ◽  
Superior Performance ◽  
Trilateral Filter

Since 1998, the Bilateral filter (BF) is worldwide accepted for its performance in practical point of view under Gaussian noise however the Bilateral filter has a poor performance for impulsive noise. Based on the combining of the Rank-Ordered Absolute Differences (ROAD) detection technique and the Bilateral filter for automatically reducing or persecuting of impulsive and Gaussian noise, this Trilateral filter (TF) has been proposed by Roman Garnett et al. since 2005 but the Trilateral filter efficiency is rest absolutely on spatial, radiometric, ROAD and joint impulsivity variance. Hence, this paper computationally determines the optimized values of the spatial, radiometric, ROAD and joint impulsivity variance of the Trilateral filter (TF) for maximum performance. In the experiment, nine noisy standard images (Girl-Tiffany, Pepper, Baboon, House, Resolution, Lena, Airplain, Mobile and Pentagon) under both five power-level Gaussian noise setting and five density impulsive noise setting, are used for estimating optimized parameters of Trilateral filter and for demonstrating the its overall performance, which is compared with classical noise removal techniques such as median filter, linear smoothing filter and Bilateral filter (BF). From the noise removal results of empirically experiments with the highest PSNR criterion, the trilateral filter with the optimized parameters has the superior performance because the ROAD variance and joint impulsivity variance can be statistically analyzed and estimated for each experimental case.

scholarly journals Fast Switching Filter for Impulsive Noise Removal from Color Images

2007 ◽  
Vol 51 (2) ◽  
pp. 155 ◽  
Author(s):  
M. Emre Celebi ◽  
Hassan A. Kingravi ◽  
Bakhtiyar Uddin ◽  
Y. Alp Aslandogan
Keyword(s):  
Impulsive Noise ◽  
Noise Removal ◽  
Color Images ◽  
Fast Switching ◽  
Switching Filter

scholarly journals Impulsive Noise Removal by Adaptive Mathematical Morphology

2016 ◽  
Vol 112 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Marisol Mares Javier ◽  
Carlos Guillén Galván ◽  
Rafael Lemuz López
Keyword(s):  
Mathematical Morphology ◽  
Impulsive Noise ◽  
Noise Removal

ℓ 1 − αℓ 2 minimization methods for signal and image reconstruction with impulsive noise removal

2020 ◽  
Vol 36 (5) ◽  
pp. 055009 ◽  
Author(s):  
Peng Li ◽  
Wengu Chen ◽  
Huanmin Ge ◽  
Michael K Ng
Keyword(s):  
Image Reconstruction ◽  
Impulsive Noise ◽  
Noise Removal ◽  
Minimization Methods
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