Comparative Performance of Filtering Methods for Reducing Noise in Ischemic Posterior Fossa CT Images

Suberi, Anis Azwani Muhd; Zakaria, Wan Nurshazwani Wan; Nazari, Ain; Tomari, Razali; Fuad, Nik Farhan Nik; Mohd, Mohd Norzali Hj

doi:10.1016/j.procs.2019.08.141

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…To show the quality of the algorithms used to remove noise, another measure unit were illustrated (NCC) Normalization Correlation Coefficient [12].The simple correlation coefficient is a measure of the degree of correlation or commitment between the two independent variables. It is used in several estimates, including a-Point estimation b-Period estimation [13]. And that the value of the correlation coefficient ranges from -1 to +1, meaning that -1≤ r ≤ +1, [14] .…”

Section: Table 1- Values Of Rmse For Noise With(3*3) Windowmentioning

confidence: 99%

Noise Removal From Movies by Using Hybrid Smooth Algorithms

Alani,

Ali,

Ali

2023

ijcsm

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Hybrid algorithms are increasingly being employed to reduce noise from videos and images. In this study, new hybrid method was used to eliminate noise from movies by first converting the movies to frames, then the frames to images which the suggested algorithm has been applied. This study aims to create the most noise-free, closest-possible copies of the original movie images in order to produce the purest movie possible. Two traditional images noise removal algorithms were integrated into the suggested algorithm. That is to say, Median filter and the conservative smoothing filter (max &min) algorithms were implemented sequentially by utilizing Matlab software version (2016R).The outcomes of this research improve the proposed algorithm's efficacy when compared to the behavior of currently applied existing algorithms for removing noise from images. In order to evaluate our process in this study, a movie with more than 300 frames was used. Frame models were chosen, and the algorithms were then applied to the frame images. The results show that the proposed hybrid algorithm performed much better than the median and conservative smoothing algorithms in all of the selected frames while tested statically by utilizing both criteria Root Mean Square Error (RMSe) and Normalization Correlation Coefficient (NCC) values which improve the hybrid algorithm the best for removing noise from sample frames.

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Section: Table 1- Values Of Rmse For Noise With(3*3) Windowmentioning

confidence: 99%

Noise Removal From Movies by Using Hybrid Smooth Algorithms

Alani,

Ali,

Ali

2023

ijcsm

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show abstract

“…In the case of the signals, we commonly need to detect (identify) the signal trend to analyse evolution of the biologic signals over the time. The signal noise often causes a signal distortion in the form of glitches and oscillations [ 21 , 22 ]. Such phenomena have the tendency to affect the signal morphology and influence signal trend.…”

Section: Introductionmentioning

confidence: 99%

Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing

Stanke

Kubíček

Vilímek

et al. 2020

Sensors

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Wavelet transformation is one of the most frequent procedures for data denoising, smoothing, decomposition, features extraction, and further related tasks. In order to perform such tasks, we need to select appropriate wavelet settings, including particular wavelet, decomposition level and other parameters, which form the wavelet transformation outputs. Selection of such parameters is a challenging area due to absence of versatile recommendation tools for suitable wavelet settings. In this paper, we propose a versatile recommendation system for prediction of suitable wavelet selection for data smoothing. The proposed system is aimed to generate spatial response matrix for selected wavelets and the decomposition levels. Such response enables the mapping of selected evaluation parameters, determining the efficacy of wavelet settings. The proposed system also enables tracking the dynamical noise influence in the context of Wavelet efficacy by using volumetric response. We provide testing on computed tomography (CT) and magnetic resonance (MR) image data and EMG signals mostly of musculoskeletal system to objectivise system usability for clinical data processing. The experimental testing is done by using evaluation parameters such is MSE (Mean Squared Error), ED (Euclidean distance) and Corr (Correlation index). We also provide the statistical analysis of the results based on Mann-Whitney test, which points out on statistically significant differences for individual Wavelets for the data corrupted with Salt and Pepper and Gaussian noise.

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Optimal Bilateral Filtering of CT Images

Draganov

Gаnchеvа

2021

2021 International Conference on Computational Science and Computational Intelligence (CSCI)

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Comparative Performance of Filtering Methods for Reducing Noise in Ischemic Posterior Fossa CT Images

Cited by 4 publications

References 16 publications

Noise Removal From Movies by Using Hybrid Smooth Algorithms

Noise Removal From Movies by Using Hybrid Smooth Algorithms

Towards to Optimal Wavelet Denoising Scheme—A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing

Optimal Bilateral Filtering of CT Images

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