Denoising performance analysis of adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm for salt and pepper noise

Due to its superior performance for denoising an image, which is contaminated by impulsive noise, an adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm is one of the most dominant and successful denoising algorithm, which is recently proposed in 2017, however this DBI...

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Main Author: Patanavijit, Vorapoj (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2019-08-01.
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001 ijeecs19124_12871
042 |a dc 
100 1 0 |a Patanavijit, Vorapoj  |e author 
100 1 0 |e contributor 
245 0 0 |a Denoising performance analysis of adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm for salt and pepper noise 
260 |b Institute of Advanced Engineering and Science,   |c 2019-08-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19124 
520 |a Due to its superior performance for denoising an image, which is contaminated by impulsive noise, an adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm is one of the most dominant and successful denoising algorithm, which is recently proposed in 2017, however this DBIDWI algorithm is not desired for denoising the full dynamic intensity range image, which is comprised of min or max intensity. Consequently, the research article aims to study the performance and its limitation of the DBIDWI algorithm when the DBIDWI algorithm is performed in both general images and the images, which are comprised of min or max intensity. In this simulation experiments, six noisy images (Lena, Mobile, Pepper, Pentagon, Girl and Resolution) under salt&pepper noise are used to evaluate the performance and its limitation of the DBIDWI algorithm in denoised image quality (PSNR) perspective. 
540 |a Copyright (c) 2019 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Digital Image Denoising, DBIDWI (Decision Based Inverse Distance Weighted Interpolation), SMF (Standard Median Filtering) 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 15, No 2: August 2019; 804-813 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v15.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19124/12871 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/19124/12871  |z Get fulltext