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34 articles for “Noise removal”
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Intelligent ECG Signal Noise Removal with Moving Median Filter Using Neural Network
Abstract: In this paper, the electrocardiogram (ECG) signal is susceptible to noise and artifact and it is essential to remove noise using neural network. The noise in order to support first 3600 of noisy heart signal is collected from MIT-BIH data base. In this paper, the use of average median filter and artificial neural network is analyzed. The available filters for power-line interference need a reference channel or regard that the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 19–25 Read article
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Text Line Segmentation for Kannada Language Using Enhanced Horizantol Projection Profile Method
Abstract: Handwritten character image is taken as dataset for this method. Segmentation is crucial in the Human Character Recognition System for extracting text lines, words, and characters from handwritten Kannada documents. In the proposed system, segmenting text lines, word, characters are done based on enhanced horizantol projection profile approach. The algorithm will be used for finding the height and width of the entire handwritten word The horizontal projection profile approach is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 1–8 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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Comprehensive Review and Analysis of Improved Filtering Methodology Based Image De-noising System
Abstract: A digital image is often ruined by noise that comes from the process and equipment used to make it or that is added to the image while it is being sent. Different kinds of noise, like impulse noise, uniform noise, Salt-and-Pepper noise, and additive Gaussian noise, can show up in images. Using a good image de-noising method, noise can be taken out of an image to bring back its details. …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 34–45 Read article
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Removal of Blotches and Impulse Noise in Gray Scale Images Using Non-linear Algorithm
Abstract: An image consists of artifact, which appears in an image that is actually not present in the original imaged object. An image artifact (noise) is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. Blotches (bulk noise) and impulses are the artifacts where blotch can be either bright or dark spots and impulse can be salt …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 22–27 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Testing the Efficiency of Background Subtraction Techniques
Abstract: In many video surveillance applications, for instance, detection of abandoned/stolen items or parked vehicles, the detection of desk-sure foreground items is an important task. In this work, we recommend the implementation of a green item detection algorithm that may be employed in actual time embedded devices because of its fast processing. The morphological approach is used for similarly processing to remove noise and to maintain the form of transferring object. …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 29–38 Read article
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Inpainting an Image based on Enhanced Resolution
Abstract: AbstractInpainting is the measure of reconstructing damaged parts of images. The main goal of inpainting is to remove unwanted objects from images and fill this region with the background. At first a part of the input image is inpainted by a non-parametric patch sampling. The inpainted part of the input image allows reducing the computational complexity and less sensitive to noise. The advantage is it is easier to inpaint low …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 23–26 Read article
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Image Denoising and Various Techniques: Survey
Abstract: Whenever an image is formed, various factors like lightning which includes its source, distance, intensity, and the camera characteristics, which included the sensor responses, lenses, and so on, affect the overall appearance of the image. The noise is one of the key components in this. It is important to remove noise in such a way that the overall quality is maintained and there is no loss of image information. There …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 6–11 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Enhanced Genetic Algorithm Applied for Image Denoising Problem
Abstract: This research introduces a new approach to restoring an image disrupted by salt and pepper (SPN) noise using a genetic algorithm (GA) at all densities, called Enhanced GA (EGA). The key contribution of the proposed algorithm is to merge the genetic algorithm with imaging approaches that are embedded into the population in order to achieve rapid convergence. The concept is to turn a group of entities into a variety of …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 1–11 Read article
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Optimization of Machining Parameters in Electric Discharge Machining of Al 65032
Abstract: Electric discharge machining has the potential to maintain surface topography and produce less stresses and destruction to the components. In this machining there is no contact between the tool and the work piece. The spark generated due to the electrostatic field generation between tool and the work piece. The objective of this experimentation was to create guidelines for electric discharge machining of Al 65032. Aluminum alloy 65032 is one of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Denoising of ECG Signal using Savitzky-Golay Filter
Abstract: Noise is character inherent. Any type of signal can be affected by noise at the time of acquisition. Signal noise can be generated from various conditions and it is difficult to avoid. ECG is a graphical structure which represents the functionality of the heart. Good quality of ECG signal will help physicians for better diagnosis. But in real situation ECG recordings are courted by noise and this noise should be …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 98–104 Read article
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Design Simulation and Assessment of Image De-noising through Improved Median Filters Based Sub band Decomposition
Abstract: The quality of an image sequence can degrade due to a number of causes, such as noise in the recording, transmission, or scanning. Additionally to enhancing the visual appeal, filtering offers the advantage of facilitating subsequent image processing tasks like coding, interpretation, or analysis. While attempting to restore a perfect image from a faulty copy, noise reduction is a top concern. Because of this, there isn't a single strategy that …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 9–21 Read article
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Hybrid Approach between LMS and Self-Correcting Adaptive Algorithm for Real Time Audio Noise Cancellation
Abstract: In present era of public address systems one of the most important issue is removing the noise signal from original signal. In various types of noise, which annoys audience, one of the most annoying problems is active feedback causing howling effect. This effect can be removed with the help of adaptive filters. There are various popular adaptive algorithms like LMS, NLMS, VLMS commonly used for this purpose. As public address …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 36–41 Read article
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Elimination of Noise on ECG Signal Using Adaptive Filter
Abstract: There are various biomedical signals present in the human body, by examining these biomedical signal one can check the health condition of a person who is clinically fit or not. Electrocardiogram (ECG) is one of them. ECG plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. This ECG signal is corrupted by various noises like power line interference, baseline wandering etc. One way to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 9–15 Read article
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A Hybrid voice identification System with Fuzzy Technique and ART2 Neural Network on BPF Technique
Abstract: Abstract:In this work, we evaluate the performance of voice identification through the hybrid method using fuzzy and Adaptive Resonance Theory2. The Voice identification is an important task, which shows the active interaction of natural human-machine, for over last important two decades. The objective of this work, it is consists in working out an identification rate of voice identification. The proposed methodology presented allows evaluating the identification process which considers a …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 1–6 Read article