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An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter

by Vorapoj Patanavijit

Title:

An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter

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:

In this paper, we propose an alternative technique for image reconstruction which it is combined existing methods for better performance in spatial domain using the median (MED) filter based on partition weighted sum (PWS) filter. Four noise models are considered including additive white Gaussian noise (AWGN), poission noise (PN), salt and pepper noise (SPN) and speckle noise (SN) under different image types such as aerial image, face image, scenic image, and text image. The simulation results show that the median based partition weighted sum (MPWS) filter provides better results than the MED and PWS filters in case of AWGN and SPN when the noise probability is not less than 20% for all image types. However, this filter takes longer average simulation time than the MED and PWS filters.

Keyword(s):

Image reconstruction
Median filter
Partition weighted sum filter
Vector quantization

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/6623004553/21050
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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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