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Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance

by Vorapoj Patanavijit

Title:

Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance

Author(s):

Vorapoj Patanavijit

Issued date:

2016-06

Citation:

Proceeding of The 13th Annual International Conference of Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2016), ECTI Association Thailand, Chiang Mai, Thailand, June 2016

Abstract:

Although the Bilateral filter is one of the most realistic and virtuoso noise removal algorithms, which is often proposed for Gaussian noise in 1998, the Bilateral filter (BF) ineffectively works under the impulsive noise. Consequently, Trilateral filter (which is a modification Bilateral filter) was first proposed by Roman Garnett et al. in 2005 and this filter is based on the hybrid consisting of Bilateral filter and Rank-Ordered Absolute Differences (ROAD) statistic for automatically attenuating or excluding of Gaussian and impulsive noise. Thereby, this research paper empirically explores the efficient influence impact of these four parameters (spatial, radiometric, ROAD and joint impulsivity variance) of the Trilateral filter (TF) when this Trilateral filter (TF) is used for noise removal prospective attitude. In the noise removal exploration, Trilateral filter (TF) is used for five noisy standard images (Girl-Tiffany, Pepper, Baboon, House and Resolution) under five Gaussian noises and five Impulse noise, compared with state-of-the-art algorithms such as Bilateral filter (BF) and median filter. Subsequently, the highest result in the PSNR prospective attitude is nominated. Supplementary, an empirically exploration optimal value of ROAD variance and joint impulsivity variance that yield the highest PSNR is empirically explored for each images and each noise cases.

Keyword(s):

Trilateral filter (TF)
Bilateral filter (BF)
Rank-Ordered Absolute Differences (ROAD)
Digital image processing

Resource type:

Proceeding Paper

Extent:

6 pages

Type:

Text

File type:

application/pdf

Language:

eng

Rights holder(s):

Vorapoj Patanavijit

URI:

http://repository.au.edu/handle/6623004553/21053
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Copyright © Assumption University.
All Rights Reserved.

Contact Us

The St. Gabriel's Library   
Hua Mak Campus  
Ramkhamhaeng 24, Hua Mak  
Bangkok Thailand 10240  
Tel.: (662) 3004543-62 Ext. 3402  
Fax.: (662) 7191544  
E-Mail Library : library@au.edu  


The Cathedral of Learning Library
Suvarnabhumi Campus
Bang Na-Trad Km. 26 Bangsaothong
Samuthprakarn Thailand 10540
Tel.: (662) 7232024, 7232025
Fax.: (662) 7191544
E-Mail Library : library@au.edu
 

 

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