Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils

Wavelet analysis has become a powerful tool for denoising images. It represents a new way to achieve better noise reduction and increased contrast. Here,  experimentally demonstrate the abilities of the discrete wavelet transform with Daubechies basis functions for improving the quality of noisy ima...

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Main Authors: Zahraa Hassan, Ibtisam Karim, Abdul- Al-Shukur
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2019-12-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_174105_99f9d0e38e19384b6cd00ca39ceaaa00.pdf
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author Zahraa Hassan
Ibtisam Karim
Abdul- Al-Shukur
author_facet Zahraa Hassan
Ibtisam Karim
Abdul- Al-Shukur
author_sort Zahraa Hassan
collection DOAJ
description Wavelet analysis has become a powerful tool for denoising images. It represents a new way to achieve better noise reduction and increased contrast. Here,  experimentally demonstrate the abilities of the discrete wavelet transform with Daubechies basis functions for improving the quality of noisy images. In this research, two methods have been compared to modify the coefficients using a soft and hard threshold to improve the visual fineness of noisy images depending on the Root-Mean-Square error (RMS). The low RMS value and better noise reduction are found in the soft threshold methods based on Daubechies wavelet (db8) for the first image RMS=0.101 and the second example RMS=0.109.
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spelling doaj.art-8a5c3fe5b85242f78a4b74fbf4d6e6952024-02-04T17:13:10ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582019-12-013712A58459110.30684/etj.37.12A.436174105Evaluation of Predictive Equations for Local Pier Scour in Cohesive SoilsZahraa Hassan0Ibtisam Karim1Abdul- Al-Shukur2Civil Eng. Dept., College of Eng., University of Warith Al-Anbiyaa, Karbala, Iraq.Civil Engineering Dep., University of Technology- Baghdad, IraqCivil Engineering Dep., University of Babylon-Iraq.Wavelet analysis has become a powerful tool for denoising images. It represents a new way to achieve better noise reduction and increased contrast. Here,  experimentally demonstrate the abilities of the discrete wavelet transform with Daubechies basis functions for improving the quality of noisy images. In this research, two methods have been compared to modify the coefficients using a soft and hard threshold to improve the visual fineness of noisy images depending on the Root-Mean-Square error (RMS). The low RMS value and better noise reduction are found in the soft threshold methods based on Daubechies wavelet (db8) for the first image RMS=0.101 and the second example RMS=0.109.https://etj.uotechnology.edu.iq/article_174105_99f9d0e38e19384b6cd00ca39ceaaa00.pdfimage processingwavelet-analysisnoiseroot-mean-square error
spellingShingle Zahraa Hassan
Ibtisam Karim
Abdul- Al-Shukur
Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
Engineering and Technology Journal
image processing
wavelet-analysis
noise
root-mean-square error
title Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
title_full Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
title_fullStr Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
title_full_unstemmed Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
title_short Evaluation of Predictive Equations for Local Pier Scour in Cohesive Soils
title_sort evaluation of predictive equations for local pier scour in cohesive soils
topic image processing
wavelet-analysis
noise
root-mean-square error
url https://etj.uotechnology.edu.iq/article_174105_99f9d0e38e19384b6cd00ca39ceaaa00.pdf
work_keys_str_mv AT zahraahassan evaluationofpredictiveequationsforlocalpierscourincohesivesoils
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AT abdulalshukur evaluationofpredictiveequationsforlocalpierscourincohesivesoils