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40 results for “Noise Reduction”
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Research ArticleOpen accessPhrase in the titleHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,161 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFPGA IMPLEMENTATION AND ANALYSIS OF IMPULSE NOISE REDUCTION IN IMAGESP. Thirumurugan, S. Sasikumar, C. SugapriyaThe images are affected by random valued impulse noises during the image capturing and processing stages. In this study, an efficient, high performance and low hardware utilized impulse noise reduction algorithm is presented. This methodology determines the optimum direction pixels through the estimation of standard deviation. The edges in the images are preserved during the process of impulse noise detection … …American Journal of Applied Sciences, Vol. 11, Issue 7 · 19 Apr 2014 · 7,200 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHigh Performance Computing on Fast Lock Delay Locked Loop with Low Power State and Simultanoeus Switching Noise ReductionT. S. Karthik, V. Jawahar Senthil KumarProblem statement: In any multimedia processor, controller may consume most of the on-chip memory resources. The memory requirement is directly depends on algorithm shared by different blocks, so leads to failure in the system models. Approach: This study presents the implementation of DLL unit used for memory optimization. Various aspects of the underlying coarse lock detector are explored and modifications … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 7,172 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNew Development Design of Low Current Measurement with Noise Reduction for High-Resolution SystemNdalla Essengue Gloire, Wembe Tafo Evariste, Djamet Yimga Arnaud et al.The treatment of inoperable cancers in the therapy terminal in Lanzhou-China, which is located at the Institute of Modern Physics (IMP), permits to work on the actual front-end readout. The availability of detailed noise spectral density characteristics for the OPA amplifier helps to develop the noise error analysis for high-resolution. This work focused on the noise model of the detector-preamplifier, … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 18 May 2018 · 8,424 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPAPR Reduction Using BPSO/PTS and STBC in MIMO OFDM SystemKarima El Mouhib, Ahmed Oquour, Younes Jabrane et al.Problem statement: The Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system has been receiving a great attention, as one of solutions for achieving high speed, efficient and high-quality service for the wireless communications. However, the transmitted signal still has high PAPR because of OFDM characteristics. Many methods have been proposed to solve this problem, but the most … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing 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 abstractImage Pre-Processing Techniques to Improve DBT Classification Accuracy With CNN ResNet-50Qodri Aziz, Slamet Riyadi et al.Digital Breast Tomosynthesis (DBT) is a three-dimensional imaging technology that is meant to determine breast cancer more accurately than regular mammograms. But low contrast and noise can make DBT images less clear, which can make deep learning-based classification less accurate. This study seeks to assess the impact of diverse preprocessing techniques on breast cancer classification outcomes utilizing the ResNet-50 Convolutional … …Journal of Computer Science, Vol. 22, Issue 10 · 21 Oct 2026 · 349 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental 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