TELKOMNIKA Telecommunication, Computing, Electronics and Control
Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation
Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation
Subject
Colored noise, Denoising, Estimation, PSNR, Wavelet transform
Description
In many applications, Image de-noising and improvement represent essential processes in presence of colored noise such that in underwater. Power spectral density of the noise is changeable within a definite frequency range, and autocorrelation noise function is does not like delta function. So, noise in underwater is characterized as colored noise. In this paper, a novel image de-noising method is proposed using multi-level noise power estimation in discrete wavelet transform with different basis functions. Peak signal to noise ratio (PSNR) and mean squared error represented performance measures that the results of this study depend on it. The results of various bases of wavelet such as: Daubechies (db), biorthogonal (bior.) and symlet (sym.), show that denoising process that uses in this method produces extra prominent images and improved values of PSNR than other methods.
Creator
Yasin Yousif Al-Aboosi, Radhi Sehen Issa, Ali khalid Jassim
Source
DOI: 10.12928/TELKOMNIKA.v18i3.14381
Publisher
Universitas Ahmad Dahlan
Date
June 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Yasin Yousif Al-Aboosi, Radhi Sehen Issa, Ali khalid Jassim, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3824.
Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3824.