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48 articles for “Adaptive filter”
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Research ArticleOpen accessIn the keywordsMANAT: A Filtering-Based Method for Denoising Nonuniform Photogrammetric Point CloudsYun Sin Chong, Hui Hui Wang, Yin Chai WangThree-dimensional point clouds reconstructed from photogrammetry often exhibit noise and non-uniform sampling density, which challenges existing denoising methods that rely on precise normal estimation or extensive parameter tuning. This study presents the Multi Attribute Neighbour Attraction Technique (MANAT), a novel single-stage, density-adaptive filtering method that jointly leverages spatial position, surface normals, and color as inherent photogrammetric attributes for unified noise … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,524 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExperimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging SystemsI. Juvanna, Uppu Ramachandraiah, G. Muthukumaran et al.Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source of discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development of a method to reduce the acoustic noise generated during MRI testing. The goal of this study is to propose a frequency-domain Active Noise Control (ANC) method … …Journal of Computer Science, Vol. 18, Issue 12 · 24 Nov 2022 · 5,503 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Self-Adaptive Neuro Fuzzy Inference System for the Removal of Non-Linear Artifacts from the Respiratory SignalA. Bhavani Sankar, D. Kumar, K. SeethalakshmiProblem statement: In this study, a new ANFIS-based adaptive filter is proposed to remove the non-linear artifacts from the respiratory signal measured using MEMS based accelerometer sensor. The data recorded from the abdomen movement includes the respiratory signal, electromyogram, 50Hz power line interference and the random electrode noise. In order to avoid convergence into local extremes, the system employs ANFIS … …Journal of Computer Science, Vol. 8, Issue 5 · 16 Feb 2012 · 6,891 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Diagnostic Viewing of Medical Images using Enhancement AlgorithmsHanan Saleh S. Ahmed, Md Jan NordinProblem statement: Various images are low quality and difficultly to detect and extract information. Therefore, the image has to get under a process called image enhancement which contains an aggregation of techniques that look for improving the visual aspect of an image. Medical images are one of the fundamental images, because they are used in more sensitive field which is … …Journal of Computer Science, Vol. 7, Issue 12 · 18 Oct 2011 · 7,991 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Image Clarity Using Adaptive RegularizationKavya T M, Yogish Naik G RIn many domains such as digital photography, remote sensing, and medical imaging, improving image clarity is essential. It is frequently difficult for traditional methods to strike a balance between preserving significant image details and reducing noise. This work presents a novel method for improving images by utilizing adaptive regularization techniques. In order to effectively reduce noise and preserve fine details, … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Particle Swarm Optimization Based Edge Preserving Impulse Noise FilterS. Mohamed Mansoor Roomi, P.L. Muthu Karuppi, P. Rajesh, B. Guru RevathiProblem statement: Image sensors and communication channels often introduce impulse noise in image transmission. The most common filters available to remove such noise are median filter and its variants but the major drawbacks identified with them are blurring of edge detail and low noise suppression. To preserve the sharp and useful information in the image, the filtering algorithms are required … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLICENSE PLATE LOCALIZATION USING GABOR FILTERS AND NEURAL NETWORKSSami Ktata, Faouzi Benzarti, Hamid AmiriVehicle License Plate Detection (LPD) is an important step for the vehicle plate recognition which can be used in the intelligent transport systems. Many methods have been proposed for the detection of license plates based on: Mathematical morphology, Discrete Wavelet Transform, Hough Transform and others. In general, an LPR system includes four main parts: Vehicle image acquisition, license plate detection, … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,977 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Multi-Scale Filtering to Initialize a Background Extraction ModelS. H. Davarpanah, Fatimah Khalid, N. A. Lili et al.Problem statement: Probability-based methods which usually work based on the saved history of each pixel are utilized severally in extracting a background image for moving detection systems. Probability-based methods suffer from a lack of information when the system first begins to work. The model should be initialized using an alternative accurate method. Approach: The use of a nonparametric filtering to … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,276 accessesView PDFCite