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Journal articles on the topic 'Peak signal noise ratio PSNR'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

J.S., Ashwin, and Manoharan N. "Audio Denoising Based on Short Time Fourier Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 89–92. https://doi.org/10.11591/ijeecs.v9.i1.pp89-92.

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This paper presents a novel audio de-noising scheme in a given speech signal. The recovery of original from the communication channel without any noise is a difficult task. Many de-noising techniques have been proposed for the removal of noises from a digital signal. In this paper, an audio denoising technique based on Short Time Fourier Transform (STFT) is implemented. The proposed architecture uses a novel approach to estimate environmental noise from speech adaptively. Here original speech signals are given as input signal. Using AWGN, noises are added to the signal. Then noised signals are

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S. Ashwin, J., and N. Manoharan. "Audio Denoising Based on Short Time Fourier Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 89. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp89-92.

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<p>This paper presents a novel audio de-noising scheme in a given speech signal. The recovery of original from the communication channel without any noise is a difficult task. Many de-noising techniques have been proposed for the removal of noises from a digital signal. In this paper, an audio de-noising technique based on Short Time Fourier Transform (STFT) is implemented. The proposed architecture uses a novel approach to estimate environmental noise from speech adaptively. Here original speech signals are given as input signal. Using AWGN, noises are added to the signal. Then noised s

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C, Shraddha, Chayadevi M L, Anusuya M A, and Vani H Y. "Enhancing Noise Reduction with Bionic Wavelet and Adaptive Filtering." Inteligencia Artificial 27, no. 74 (2024): 214–26. http://dx.doi.org/10.4114/intartif.vol27iss74pp214-226.

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Speech signals often contain different forms of background and environmental noise. For the development of an efficient speech recognition system, it is essential to preprocess noisy speech signals to reduce the impact of these disturbances. Notably, prior research has paid limited attention to pink and babble noises. This gap in knowledge inspired us to develop and implement hybrid algorithms tailored to handle these specific noise types. We introduce a hybrid method that combines the Bionic Wavelet transform with Adaptive Filtering to enhance signal strength. The performance of this method i

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Kwon, Ju Hyeok, So Eui Kim, Na Hye Kim, Eui Chul Lee, and Jee Hang Lee. "Preeminently Robust Neural PPG Denoiser." Sensors 22, no. 6 (2022): 2082. http://dx.doi.org/10.3390/s22062082.

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Photoplethysmography (PPG) is a simple and cost-efficient technique that effectively measures cardiovascular response by detecting blood volume changes in a noninvasive manner. A practical challenge in the use of PPGs in real-world applications is noise reduction. PPG signals are likely to be compromised by various types of noise, such as scattering or motion artifacts, and removing such compounding noises using a monotonous method is not easy. To this end, this paper proposes a neural PPG denoiser that can robustly remove multiple types of noise from a PPG signal. By casting the noise reducti

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Malleswari, Pinjala N., Ch Hima Bindu, and K. Satya Prasad. "An Improved Denoising of Electrocardiogram Signals Based on Wavelet Thresholding." Journal of Biomimetics, Biomaterials and Biomedical Engineering 51 (June 14, 2021): 117–29. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.51.117.

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Electrocardiogram (ECG) is the most important signal in the biomedical field for the diagnosis of Cardiac Arrhythmia (CA). ECG signal often interrupted with various noises due to non-stationary nature which leads to poor diagnosis. Denoising process helps the physicians for accurate decision making in treatment. In many papers various noise elimination techniques are tried to enhance the signal quality. In this paper a novel hybrid denoising technique using EMD-DWT for the removal of various noises such as Additive White Gaussian Noise (AWGN), Baseline Wander (BW) noise, Power Line Interferenc

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Sonali, Malviya, and Anshuj Jain Prof. "Analysis PSNR of High Density Salt and Pepper Impulse Noise Using Median Filter." International Journal of Trend in Scientific Research and Development 3, no. 1 (2018): 866–70. https://doi.org/10.31142/ijtsrd19086.

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In this paper a new method for the enhancement of gray scale images is introduced, when images are corrupted by fixed valued impulse noise salt and pepper noise . The proposed methodology ensures a better output for low and medium density of fixed value impulse noise as compare to the other famous filters like Standard Median Filter SMF , Decision Based Median Filter DBMF and Modified Decision Based Median Filter MDBMF etc. The main objective of the proposed method was to improve peak signal to noise ratio PSNR , visual perception and reduction in blurring of image. The proposed algorithm repl

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Mardiah, Ainil, Sri Hartati, and Agus Sihabuddin. "Face Image Generation and Enhancement Using Conditional Generative Adversarial Network." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 16, no. 1 (2022): 1. http://dx.doi.org/10.22146/ijccs.58327.

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The accuracy and speed of a single image super-resolution using a convolutional neural network is often a problem in improving finer texture details when using large enhancement factors. Some recent studies have focused on minimal mean square error, resulting in a high peak signal to noise ratio. Generally, although the peak signal to noise ratio has a high value, the output image is less detailed. This shows that the determination of super-resolution is not optimal. Conditional Generative Adversarial Network based on Boundary Equilibrium Generative Adversarial Network, by combining Mean Squar

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Rao*, G. Manmadha, Raidu Babu D.N, Krishna Kanth P.S.L, Vinay B., and Nikhil V. "Reduction of Impulsive Noise from Speech and Audio Signals by using Sd-Rom Algorithm." International Journal of Recent Technology and Engineering 10, no. 1 (2021): 265–68. http://dx.doi.org/10.35940/ijrte.a5943.0510121.

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Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal qualit

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G.Manmadha, Rao, Raidu Babu D.N, Krishna Kanth P.S.L, B.Vinay, and V.Nikhil. "Reduction of Impulsive Noise from Speech and Audio Signals by using Sd-Rom Algorithm." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 1 (2021): 265–68. https://doi.org/10.35940/ijrte.A5943.0510121.

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Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal

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Zhu, You Lian, and Cheng Huang. "Median Morphological Filter Design Based on the PSO Algorithm." Applied Mechanics and Materials 128-129 (October 2011): 181–84. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.181.

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Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-to-noise ratio (PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise r

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Prasad, K. D., and R. Ramadevi. "Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Median Filtering over Mask Filtering." CARDIOMETRY, no. 25 (February 14, 2023): 990–95. http://dx.doi.org/10.18137/cardiometry.2022.25.990-995.

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Aim: The goal of this research is to employ median filters and mask filters to reduce noise in liver images so that they can be improved. In addition, the Peak Signal to Noise Ratio of both filters’ outputs was examined (PSNR). Materials and Methods: The afflicted and normal liver photos were obtained from the Kaggle website for this investigation. Then, using Matlab software, the mask filtering and median filtering algorithms were run. Clinicalc. com was used to compute sample size, and SPSS software was used to conduct the comparative analysis. This study has two groups, each with a sample s

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Naz, F., D. J. Rani, and R. Rajakumari. "Detection and comparison of Diabetic Maculopathy using C-Means Clustering Algorithm and Watershed Algorithm." CARDIOMETRY, no. 25 (February 14, 2023): 845–51. http://dx.doi.org/10.18137/cardiometry.2022.25.845851.

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Aim: The aim of this research work is for the presence of Novel Diabetic Maculopathy Detection using modern algorithms, and comparing the Peak Signal to Noise Ratio (PSNR) between the C-Means clustering Algorithms and Watershed Algorithm. Materials and Methods: The sample images were taken from kaggle’s website. Samples were considered as (N=24) for C-Means Clustering Algorithm and (N=24) for Watershed algorithm in accordance with total sample size calculated using clinicalc.com by keeping alpha error-threshold value 0.05, enrollment ratio as 0.1, 95% confidence interval, G power as 80%. The P

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Zhang, Huage, Jinfei Yu, Yumei Ma, Zhenkuan Pan, and Jingjing Zhao. "Image Restoration Based on Stochastic Resonance in a Parallel Array of Fitzhugh–Nagumo Neuron." Complexity 2020 (November 11, 2020): 1–9. http://dx.doi.org/10.1155/2020/8843950.

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The poor denoising effect for noisy grayscale images with traditional processing methods would be obtained under strong noise condition, and some image details would be lost. In this paper, a parallel array model of Fitzhugh–Nagumo (FHN) neurons was proposed, which can restore noisy grayscale images well with low peak signal-to-noise ratio (PSNR) conditions and the image details are better preserved. Firstly, the row-column scanning method was used to convert the 2D grayscale image into a 1D signal, and then the 1D signal was converted into a binary pulse amplitude modulation (BPAM) signal by

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Veeramakal, T., Syed Raffi Ahamed J, and Bagiyalakshmi N. "Speech Signal Enhancement with Integrated Weighted Filtering for PSNR Reduction in Multimedia Applications." Journal of Computer Allied Intelligence 2, no. 3 (2024): 1–14. http://dx.doi.org/10.69996/jcai.2024011.

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This paper investigates the effectiveness of the Weighted Kalman Integrated Band Rejection (WKBR) method for enhancing speech signals in multimedia applications. Speech enhancement is crucial for improving the quality and intelligibility of audio in environments with varying noise types and levels. The WKBR method is evaluated across ten different noise scenarios, including white noise, babble noise, street noise, airplane cabin noise, and more. Performance metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Short-Time Objective Intelligibility (STOI) are used to q

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Yunus, Mahmuddin, and Agus Harjoko. "Penyembunyian Data pada File Video Menggunakan Metode LSB dan DCT." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 8, no. 1 (2014): 81. http://dx.doi.org/10.22146/ijccs.3498.

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AbstrakPenyembunyian data pada file video dikenal dengan istilah steganografi video. Metode steganografi yang dikenal diantaranya metode Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT). Dalam penelitian ini dilakukan penyembunyian data pada file video dengan menggunakan metode LSB, metode DCT, dan gabungan metode LSB-DCT. Sedangkan kualitas file video yang dihasilkan setelah penyisipan dihitung dengan menggunakan Mean Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR).Uji eksperimen dilakukan berdasarkan ukuran file video, ukuran file berkas rahasia yang disisipkan, dan r

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Vani, A. "Implementation of Efficient Adaptive Noise Cancellation on FPGA Using LMS and LLMS Algorithms." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2849–53. https://doi.org/10.22214/ijraset.2025.70797.

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This work focuses on the implementation of an efficient adaptive noise cancellation system using FPGA technology based on LMS (Least Mean Squares) and LLMS (Leaky LMS) algorithms. The aim is to enhance real-time audio signal processing by mitigating unwanted noise effectively. Initially, MATLAB was used to process noisy and clean audio signals, which were then simulated using Verilog in Xilinx ISE 14.7. The LMS and LLMS algorithms were implemented and compared for their performance in noise cancellation. The LLMS algorithm demonstrated superior performance, achieving significant improvements i

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Yongjie Peng. "Electronic Information System Signal Noise for Noise Reduction using Variational Bayesian based Robust Adaptive Filter." Journal of Electrical Systems 20, no. 3s (2024): 2491–500. http://dx.doi.org/10.52783/jes.3148.

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The most significant issues for a thousand users is the unwanted or loud signals in sound files, it is impossible to eliminate or minimize these noise signals without knowledge their types and ranges. To overcome this issue, present an Electronic Information System Signal Noise for Noise Reduction using Variational Bayesian based Robust Adaptive Filter (EIS-SNR-VBRAF) is proposed. Initially, the data is collected from Adaptive Myriad Filter using Time-Varying Noise and Signal-Dependent Parameters dataset. Then, the data is given for Pre-processing section, Variational Bayesian based Robust Ada

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Ananya, M. H. "Optimized Convolutional Neural Network for High Quality Image Super Resolution." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45834.

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Abstract---- - One of the most crucial methods for digital image processing is super-resolution. In this method, one sub category is Single Image Super Resolution (SISR) and other is Multi-Frame Super Resolution (MFSR). A low-resolution image shall be used by SISR to output a high-resolution image whereas in MFSR various images of the same view with slight variations in positions are considered collectively as input to produce a single high- resolution image. In our paper Peak Signal Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM), Multi Scale Structural Similarity Index Metric (

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Saxena, Parul, and Vinay Saxena. "COMPARATIVE STUDY OF WHITE GAUSSIAN NOISE REDUCTION FOR DIFFERENT SIGNALS USING WAVELET." International Journal of Research -GRANTHAALAYAH 10, no. 7 (2022): 112–23. http://dx.doi.org/10.29121/granthaalayah.v10.i7.2022.4711.

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The present work is an attempt to make a comparative study of the wavelet-based noise reduction algorithm. The algorithm has been developed and implemented in MATLAB GUI and then analyzed for different types of wavelets such as Coiflet, Daubechies, Symlet, and Biorthogonal with their different versions. This algorithm has been verified for different types of input signals from different domains. Various statistical aspects like Mean Absolute Error (MAE), Mean Squared Error (MSE), Signal to Noise Ratio (SNR), and Peak Signal to Noise Ratio (PSNR) are analyzed for this algorithm. It is observed

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Suguna, GC. "Denoising wrist pulse signals using variance thresholding technique." Indian Journal of Science and Technology 13, no. 40 (2020): 4275–86. http://dx.doi.org/10.17485/ijst/v13i40.1625.

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Background/Objectives: Denoising of the wrist pulse is a significant preprocessing stage for accurate investigation of the disease. The objective is to improve and analyze performance metrics of denoising techniques. Methods/Statistical analysis: Denoising of wrist pulse with the evaluation parameters such as PSNR, SNR, AE and RMSE has been implemented using wavelets such as Daubechies, Symlet and Biorthogonal. The performance of wavelets depends on the choice of decomposition level N and thresholding techniques. Findings: Variance thresholding technique showed significant improvement in Peak

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R, Gayathri. "EFFICIENT NON-LOCAL AVERAGING ALGORITHM FOR MEDICAL IMAGES FOR IMPROVED VISUAL QUALITY." ICTACT Journal on Image and Video Processing 11, no. 2 (2020): 2306–9. https://doi.org/10.21917/ijivp.2020.0327.

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Image can be distorted by various ways including sensor inadequacy, transmission error, different noise factors and motion blurring. For controlling and maintaining the visual quality level of the image to be very high, it is very important to improve the image acquisition, image storage and image transmission, etc. Achieving high Peak Signal to Noise Ratio (PSNR) is essential goal of image restoration. This involves removing noises present in the image. Non-Local Means algorithm combined with Laplacian of Gaussian filter finds better results and produces good PSNR against impulse noise as wel

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Noor Azam, Muhammad Harith, Farida Ridzuan, and M. Norazizi Sham Mohd Sayuti. "A New Method to Estimate Peak Signal to Noise Ratio for Least Significant Bit Modification Audio Steganography." Pertanika Journal of Science and Technology 30, no. 1 (2022): 497–511. http://dx.doi.org/10.47836/pjst.30.1.27.

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Audio steganography is implemented based on three main features: capacity, robustness, and imperceptibility, but simultaneously implementing them is still a challenge. Embedding data at the Least Significant Bit (LSB) of the audio sample is one of the most implemented audio steganography methods because the method will give high capacity and imperceptibility. However, LSB has the lowest robustness among all common methods in audio steganography. To cater to this problem, researchers increased the depth of the embedding level from fourth to sixth and eighth LSB level to improve its robustness f

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GC, Suguna, and Veerabhadrappa ST. "Denoising wrist pulse signals using variance thresholding technique." Indian Journal of Science and Technology 13, no. 40 (2020): 4275–86. https://doi.org/10.17485/IJST/v13i40.1625.

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Abstract <strong>Background/Objectives:</strong> Denoising of the wrist pulse is a significant preprocessing stage for accurate investigation of the disease. The objective is to improve and analyze performance metrics of denoising techniques. <strong>Methods/Statistical analysis:</strong> Denoising of wrist pulse with the evaluation parameters such as PSNR, SNR, AE and RMSE has been implemented using wavelets such as Daubechies, Symlet and Biorthogonal. The performance of wavelets depends on the choice of decomposition level N and thresholding techniques. <strong>Findings</

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Salah, Zaher, Waleed T. Al-Sit, Kamal Salah, and Esraa Elsoud. "Spatial domain noise removal filtering for low-resolution digital images." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 3 (2024): 1627–42. https://doi.org/10.11591/ijeecs.v34.i3.pp1627-1642.

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In this research work, six different filters are applied on a low resolution 8 b/pixel gray-scale images, which operate on small sub-images (windows of 3×3 to 11×11 pixels). The enhanced images are used to compare the efficiency of the different six filters using the peak signal to noise ratio (PSNR) image quality measure. Noise peak elimination filter (PSNR)=36.63) outperforms others, such as median filter (PSNR=36.61), while corruption estimation (PSNR=36.03) significantly cuts processing time by only processing the corrupted pixels while maintaining image details. Mean filter (P

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Padcharoen, Anantachai, and Duangkamon Kitkuan. "A Mathematical Algorithm for Improving the Medical Image." WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 21 (April 25, 2024): 192–99. http://dx.doi.org/10.37394/23208.2024.21.20.

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In this paper, we present a hybrid model based on total generalized variation (TGV) and shearlet with non-quadratic fidelity data terms for blurred images corrupted by impulsive and Poisson noises. Numerical experiments demonstrate that the proposed can reduce the staircase effect while preserving edges and outperform classical TV-based models in the peak signal-to-noise ratio (PSNR).

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Youssif, Mohamed Ibrahim, Amr ElSayed Emam, and Mohamed Abd ElGhany. "Image multiplexing using residue number system coding over MIMO-OFDM communication system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4815. http://dx.doi.org/10.11591/ijece.v9i6.pp4815-4825.

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<p>Image transmission over Orthogonal Frequency-Division Multiplexing (OFDM) communication system is prone to distortion and noise due to the encountered High-Peak-to-Average-Power-Ratio (PAPR) generated from the OFDM block. This paper studies the utilization of Residue Number System (RNS) as a coding scheme for digital image transmission over Multiple-Input-Multiple-Output (MIMO) – OFDM transceiver communication system. The use of the independent parallel feature of RNS, as well as the reduced signal amplitude to convert the input signal to parallel smaller residue signals, enable to re

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M., I. Youssef, E. Emam A., and Abd Elghany M. "Image multiplexing using residue number system coding over MIMO-OFDM communication system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4815–25. https://doi.org/10.11591/ijece.v9i6.pp4815-4825.

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Image transmission over Orthogonal Frequency-Division Multiplexing (OFDM) communication system is prone to distortion and noise due to the encountered High-Peak-to-Average-Power-Ratio (PAPR) generated from the OFDM block. This paper studies the utilization of Residue Number System (RNS) as a coding scheme for digital image transmission over Multiple Input Multiple Output (MIMO) – OFDM transceiver communication system. The use of the independent parallel feature of RNS, as well as the reduced signal amplitude to convert the input signal to parallel smaller residue signals, enable to reduc

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Lee, Hwunjae, and Junhaeng Lee. "Peak Signal-to-Noise Ratio Evaluation of Server Display Monitors and Client Display Monitors in a Digital Subtraction Angiography Devices." ScholarGen Publishers 3, no. 1 (2020): 33–41. http://dx.doi.org/10.31916/sjmi2020-01-04.

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This study evaluated PSNR of server display monitor and client display monitor of DSA system. The signal is acquired and imaged during the surgery and stored in the PACS server. After that, distortion of the original signal is an important problem in the process of observation on the client monitor. There are many problems such as noise generated during compression and image storage/transmission in PACS, information loss during image storage and transmission, and deterioration in image quality when outputting medical images from a monitor. The equipment used for the experiment in this study wa

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Hardiansyah, Bagus, and Elvianto Dwi Hartono. "Enhanced Face Image Super-Resolution Using Generative Adversarial Network." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 10, no. 1 (2022): 31–40. http://dx.doi.org/10.33558/piksel.v10i1.4158.

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We proposed an Enhanced Face Image Generative Adversarial Network (EFGAN). Single image super-resolution (SISR) using a convolutional is often a problem in enhancing more refined texture upscaling factors. Our approach focused on mean square error (MSE), validation peak-signal-to-noise ratio (PSNR), and Structural Similarity Index (SSIM). However, the peak-signal-to-noise ratio has a high value to detail. The generative Adversarial Network (GAN) loss function optimizes the super-resolution (SR) model. Thus, the generator network is developed with skip connection architecture to improve perform

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Prasad, K. D., and R. Ramadevi. "Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Image by Median Filtering over Wiener Filtering." CARDIOMETRY, no. 25 (February 14, 2023): 996–1002. http://dx.doi.org/10.18137/cardiometry.2022.25.9961002.

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Aim: The purpose of this study is to use median filters and wiener filters to minimize noise in liver images in order to improve them. In addition, the output of both filters was analyzed based on their Peak Signal to Noise Ratio (PSNR). Materials and Methods: The research includes two groups; each group has a sample size of 20. Grayscale medical images collected from the kaggle website were used in this research. Samples were considered as (N=20) for guided filter and (N=20) for fast bilateral filter with total sample size 40 calculated using clinicalc.com. Image enhancement is used to enhanc

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Suriyan, Kannadhasan, Nagarajan Ramaingam, Sudarmani Rajagopal, Jeevitha Sakkarai, Balakumar Asokan, and Manjunathan Alagarsamy. "Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 286–92. http://dx.doi.org/10.11591/eei.v11i1.3332.

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The problem of denoising iris pictures for iris identification systems will be discussed, as well as a novel solution based on wavelet and median filters. Different salt and pepper extraction algorithms, as well as Gaussian and speckle noises, were used. Because diverse sounds decrease picture quality during image collection, noise reduction is even more important. To reduce sounds like salt and pepper, Gaussian, and speckle, filtering (median, wiener, bilateral, and Gaussian) and wavelet transform are utilised. Provide better results as compared to other ways. A study of several efficiency in

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Kannadhasan, Suriyan, Ramaingam Nagarajan, Rajagopal Sudarmani, Sakkarai Jeevitha, Asokan Balakumar, and Alagarsamy Manjunathan. "Performance analysis of peak signal-to-noise ratio and multipath source routing using different denoising method." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 286–92. https://doi.org/10.11591/eei.v11i1.3332.

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The problem of denoising iris pictures for iris identification systems will be discussed, as well as a novel solution based on wavelet and median filters. Different salt and pepper extraction algorithms, as well as Gaussian and speckle noises, were used. Because diverse sounds decrease picture quality during image collection, noise reduction is even more important. To reduce sounds like salt and pepper, Gaussian, and speckle, filtering (median, wiener, bilateral, and Gaussian) and wavelet transform are utilised. Provide better results as compared to other ways. A study of several efficiency in

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Purwanti Ningrum, Ika, Agfianto Eko Putra, and Dian Nursantika. "Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 5, no. 3 (2011): 29. http://dx.doi.org/10.22146/ijccs.5209.

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Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how we

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Tyukhtyaev, Dmitry. "Researching Video Conference Services on IEEE 802.11x Wireless Networks." NBI Technologies, no. 4 (December 2021): 13–18. http://dx.doi.org/10.15688/nbit.jvolsu.2021.4.2.

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The purpose of the study was to determine the dependence of the quality of video conferencing services on the characteristics of wireless communication channels and the number of users in a given network. The characteristics of the signal strength in a wireless network, measured in decibels (dB) were described in this article. The article discusses subjective and objective methods for assessing video. The PSNR and VQM metrics and the MSU Video Quality Measurement Tool software, created by the computer graphics laboratory of the Moscow State University, were used as an objective method for asse

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Ma, Shaowen. "Comparison of image compression techniques using Huffman and Lempel-Ziv-Welch algorithms." Applied and Computational Engineering 5, no. 1 (2023): 793–801. http://dx.doi.org/10.54254/2755-2721/5/20230705.

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Image compression technology is very popular in the field of image analysis because the compressed image is convenient for storage and transmission. In this paper, the Huffman algorithm and Lempel-Ziv-Welch (LZW) algorithm are introduced. They are widely used in the field of image compression, and the compressed image results of the two algorithms are calculated and compared. Based on the four dimensions of Compression Ratio (CR), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Bits Per Pixel (BPP), the applicable conditions of the two algorithms in compressing small image files

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Salau, Ayodeji Olalekan, Shruti Jain, and Joy Nnenna Eneh. "A review of various image fusion types and transforms." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1515. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1515-1522.

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Utilizing multiple views of an image is an important approach in digital photography, video editing, and medical image fusion applications. Image fusion (ImF) methods are used to improve an image's quality and remove noise from the image signal, resulting in a higher signal-to-noise ratio. A complete assessment of the literature on the different transform kinds, techniques, and rules utilized in ImF is presented in this paper. To assess the outcomes, a white flower image was fused using discrete wavelet transform (DWT) and discrete cosine transform (DCT) techniques. For validation of results,

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Salau, Ayodeji Olalekan, Shruti Jain, and Joy Nnenna Eneh. "A review of various image fusion types and transforms." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1515–22. https://doi.org/10.11591/ijeecs.v24.i3.pp1515-1522.

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Utilizing multiple views of an image is an important approach in digital photography, video editing, and medical image fusion applications. Image fusion (ImF) methods are used to improve an image's quality and remove noise from the image signal, resulting in a higher signal-to-noise ratio. A complete assessment of the literature on the different transform kinds, techniques, and rules utilized in ImF is presented in this paper. To assess the outcomes, a white flower image was fused using discrete wavelet transform (DWT) and discrete cosine transform (DCT) techniques. For validation of resul

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Tjahjadi, Jhonatan, Padmavati Tanuwijaya, and Yosefina Finsensia Riti. "Analisis Perbandingan Algoritme Penghapusan Noise pada Citra X-Ray Paru - Paru." Pseudocode 10, no. 2 (2023): 80–89. http://dx.doi.org/10.33369/pseudocode.10.2.80-89.

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Pulmonary X-ray is a medical diagnostic method used to produce internal lung images. However, the X-ray process is often interrupted when capturing images, resulting in noisy image results. This condition diminishes the clarity of information contained in the lung X-ray images. Therefore, noise removal or denoising is essential. Denoising is a fundamental image processing technique aimed at improving image quality for optimal information transmission. This study applies denoising methods to 20 datasets of pulmonary X-ray images using Median, Mean, Gaussian, Bilateral, and Wiener filters, with

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Salah, Zaher, Waleed T. Al-Sit, Kamal Salah, and Esraa Elsoud. "Spatial domain noise removal filtering for low-resolution digital images." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 3 (2024): 1627. http://dx.doi.org/10.11591/ijeecs.v34.i3.pp1627-1642.

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<p>n this research work, six different filters are applied on a low resolution 8 b/pixel gray-scale images, which operate on small sub-images (windows of 3×3 to 11×11 pixels). The enhanced images are used to compare the efficiency of the different six filters using the peak signal to noise ratio (PSNR) image quality measure. Noise peak elimination filter (PSNR)=36.63) outperforms others, such as median filter (PSNR=36.61), while corruption estimation (PSNR=36.03) significantly cuts processing time by only processing the corrupted pixels while maintaining image details. Mean filter (PSNR=

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Prasad, K. D., and R. Ramadevi. "Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Linear Contrast Algorithm over Median Filtering." CARDIOMETRY, no. 25 (February 14, 2023): 983–89. http://dx.doi.org/10.18137/cardiometry.2022.25.983989.

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Aim: The goal of this research is to reduce noise present in the liver images in order to enhance it using linear contrast and median filters. And also to analyze output of both the filters based on its Peak Signal to Noise Ratio (PSNR). Materials and Methods: The research includes two groups; each group has a sample size of 20. Grayscale medical images collected from the kaggle website were used in this research. Samples were considered as (N=20) for guided filter and (N=20) for fast bilateral filter with total sample size 40 calculated using clinicalc.com. For this study, the affected and no

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Chen, Yunfei, Kaimin Yu, Minfeng Wu та ін. "Wavelet Decomposition Layer Selection for the φ-OTDR Signal". Photonics 11, № 2 (2024): 137. http://dx.doi.org/10.3390/photonics11020137.

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The choice of wavelet decomposition layer (DL) not only affects the denoising quality of wavelet denoising (WD), but also limits the denoising efficiency, especially when dealing with real phase-sensitive optical time-domain reflectometry (φ-OTDR) signals with complex signal characteristics and different noise distributions. In this paper, a straightforward adaptive DL selection method is introduced, which dose not require known noise and clean signals, but relies on the similarity between the probability density function (PDF) of method noise (MN) and the PDF of Gaussian white noise. Validati

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C. Jenifer Kamalin, Dr. G. Muthu Lakshmi. "Comparative Analysis on Image Compression Algorithm Based on Block Truncation Coding." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 2623–30. http://dx.doi.org/10.52783/tjjpt.v44.i4.1328.

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Block Truncation Coding is a quick and effective method for compressing images, because it employs a non-parametric one-bit or two-bit quantization procedure that adapts to the features of the image. This paper describes and compares the performance of BTC and BTC based techniques such as Enhanced Block Truncation Coding (EBTC), Modified Block Truncation Coding (MBTC), and Adaptive Block Truncation Coding – Edge Quantization (ABTC – EQ). These techniques were applied on the general images and their performance were measured using the metrics such as Peak Signal Noise Ratio (PSNR), Structured S

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Yousuf, M. A., and M. N. Nobi. "A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images." Journal of Scientific Research 3, no. 1 (2010): 81. http://dx.doi.org/10.3329/jsr.v3i1.5544.

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In medical image processing, medical images are corrupted by different type of noises. It is very important to obtain precise images to facilitate accurate observations for the given application. Removing of noise from medical images is now a very challenging issue in the field of medical image processing. Most well known noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for medical image noise reduction. This paper presents an efficient and simple method for noise reduction from medical images. In the proposed method median filter i

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Shahbakhti, Mohammad, Maxime Maugeon, Matin Beiramvand, and Vaidotas Marozas. "Low Complexity Automatic Stationary Wavelet Transform for Elimination of Eye Blinks from EEG." Brain Sciences 9, no. 12 (2019): 352. http://dx.doi.org/10.3390/brainsci9120352.

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The electroencephalogram signal (EEG) often suffers from various artifacts and noises that have physiological and non-physiological origins. Among these artifacts, eye blink, due to its amplitude is considered to have the most influence on EEG analysis. In this paper, a low complexity approach based on Stationary Wavelet Transform (SWT) and skewness is proposed to remove eye blink artifacts from EEG signals. The proposed method is compared against Automatic Wavelet Independent Components Analysis (AWICA) and Enhanced AWICA. Normalized Root Mean Square Error (NRMSE), Peak Signal-to-Noise Ratio

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Qin, Feng Qing, Li Hong Zhu, Li Lan Cao, and Wa Nan Yang. "Gaussian Noised Single-Image Super Resolution Reconstruction." Applied Mechanics and Materials 457-458 (October 2013): 1032–36. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1032.

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A framework is proposed to reconstruct a super resolution image from a single low resolution image with Gaussian noise. The degrading processes of Gaussian blur, down-sampling, and Gaussian noise are all considered. For the low resolution image, the Gaussian noise is reduced through Wiener filtering algorithm. For the de-noised low resolution image, iterative back projection algorithm is used to reconstruct a super resolution image. Experiments show that de-noising plays an important part in single-image super resolution reconstruction. In the super reconstructed image, the Gaussian noise is r

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Qin, Feng Qing, Li Hong Zhu, Li Lan Cao, and Wa Nan Yang. "Single-Image Super Resolution Reconstruction with Pepper and Salt Noise." Applied Mechanics and Materials 427-429 (September 2013): 1817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1817.

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In order to improve the resolution of single image with Pepper and Salt noise, a framework is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper and Salt noise are considered. For the low resolution image, the Pepper and Salt noise is reduced through median filtering method. Super resolution reconstruction is performed on the de-noised low resolution image by iterative back projection algorithm. Experimental results show that the Pepper and Salt noise are removed effectively and the peak signal to noise ratio (PSNR) of the super resolution recons

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Wisnu, Widiarto, Hariadi Mochamad, and Mulyanto Yuniarno Eko. "Keyframe Selection of Frame Similarity to Generate Scene Segmentation Based on Point Operation." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2839–46. https://doi.org/10.11591/ijece.v8i5.pp2839-2846.

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Video segmentation has been done by grouping similar frames according to the threshold. Two-frame similarity calculations have been performed based on several operations on the frame: point operation, spatial operation, geometric operation and arithmatic operation. In this research, similarity calculations have been applied using point operation: frame difference, gamma correction and peak signal to noise ratio. Three-point operation has been performed in accordance with the intensity and pixel frame values. Frame differences have been operated based on the pixel value level. Gamma correction

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Prathama, Wayan Adhitya, and I. Gede Arta Wibawa. "Noise Qualification in Bali Palm Leaf Image with Gaussian Filter Method." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 3 (2020): 301. http://dx.doi.org/10.24843/jlk.2020.v08.i03.p12.

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In improving the quality of the image basically makes the appearance of an image better than before. One thing that is done in improving the image quality is noise qualification. This noise qualification aims to reduce the level of noise contained in a digital image. In this study, the image used is the image of Bali palm leaf. There are many methods that can be used to qualify for noise. One of them is the Gaussian filter. In this study, Gaussian Filter is used as a method to qualify the noise contained in the palm leaf image. The image quality after the noise qualification process is calcula

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Franca Oyiwoja Okoh and John Actor Ocheje. "Evaluating denoising performances of basic filters in the detection of microcalcifications on mammogram images." International Journal of Science and Research Archive 9, no. 2 (2023): 201–10. http://dx.doi.org/10.30574/ijsra.2023.9.2.0544.

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This research evaluates the denoising abilities of some image-processing filters used in facilitating the early detection of microcalcifications in breast tissues. The mean, median and Gaussian filters were employed to denoise mammogram images of microcalcification breast phantoms of various densities. The performances of the filters were assessed by evaluating the mean squared error (MSE), peak signal-to-noise ratio (PSNR), and signal-to-noise ratio (SNR). All experiments were carried out on MATLAB R2020a platform. The results revealed that the Gaussian filter recorded optimal performance in

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Li, Yucheng, Yang Zhang, Deyu Jia, Song Gao, and Muqun Zhang. "Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure." Applied Sciences 15, no. 11 (2025): 6047. https://doi.org/10.3390/app15116047.

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This study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations. By quantitatively injecting noise to mimic practical interference environments, we systematically analyze the degradation mechanisms of four CGH types: detour-phase, modified off-axis beam reference, kinoform, and interference type. A dual-metric evaluation framework combining peak signal-to-noise ratio (PSNR) and the Structural Similarity Index Measure (SSIM) is proposed. Results demonstrate that increasing noise intensity induces p

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