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20 articles for “SVD”
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Low-light Video Enhancement with SVD-DWT Algorithm for Multimedia Surveillance Network
Abstract: After the outbreak of the global pandemic COVID-19, video surveillance has become an important aspect of multimedia communication in monitoring-based systems, security systems, object tracing etc. However, due to drawbacks like video frame distortion, the quality of the video in surveillance may be affected in some cases. In this work, a video enhancement-based multimedia surveillance network has been developed by using a Discrete Wavelet Transform (DWT) and Singular Value Decomposition …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 42–50 Read article
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Invisible Watermarking on RGB Image with the Combination of 7-DWT and SVD
Abstract: In this study, we present a powerful watermarking system based on seven level discrete wavelet transform and singular value decomposition for RGB picture where R signifies red color, G indicates green color and B means blue color. It provides improved security and performance in terms of mean square error, peak signal noise ratio, structural similarity matrix, normalized cross correlation and execution time. During the experiment, we increase peak signal noise …
Published in Journal of Open Source Developments · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Digital Watermark Image Perform on Arnold-DWT-SVD Scheme Has Proved a High Degree of Robustness: A Review
Abstract: AbstractDigital communication plays an important function within the international level of internet as well as within the communication technology. The secrecy of the communication is an essential part of passing the data or information. Digital watermarking (DW) has ended up a promising research place to stand the demanding situations created via the rapid increase in distribution of digital content over the net. To prevent misuse of the facts, DW strategies …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 21–29 Read article
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Design and Implementation of Improved Image Compression Algorithm using Hybrid Approach of DWT, DCT and SVD
Abstract: In today’s digital world, the latest technology is being developed in field of communication, network, digital data storage, etc. Use of internet is increased rapidly in world of business and profession. A study conducted by research says that 1.1 billion people have regular web access and use application like electronic mail, instant messaging, social networking, online messaging etc. which, helps in growth and knowledge sharing in different domains such as …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Video Watermarking – Implementation and Performance Analysis of Combined DWT – SVD Approach
Abstract: In this Paper, the authors state the implementation and performance analysis of digital video watermarking that use the combination of the transform domain processing of the video and fundamentals of the linear algebra. The concept of Discrete Wavelet Transform and Singular Value Decomposition has been used for the development of the proposed algorithm. The authors first applied discrete wavelet transform and then used the singular values, obtained by Singular Value …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 106–114 Read article
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Enhancement of Proton Density Weighted Magnetic Resonance Images using Singular Value Decomposition in Wavelet Domain
Abstract: Image enhancement techniques for low contrast medical images using Singular Value Decomposition (SVD) in Discrete Wavelet Transform domain (SVD-DWT) are proposed in the literature. However, shift sensitivity, poor directionality and a lack of phase information are the primary drawbacks of the discrete wavelet transform. This work introduces a novel method of image enhancement (SVD-SWT) using SVD in Stationary Wavelet Transform (SWT) to improve the contrast of Proton Density weighted Magnetic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 10–21 Read article
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Analysis of Image Watermarking Techniques against Various Noise Attacks for Medical Images using Genetic Algorithm (GA)
Abstract: In this paper, we have presented a dual secure digital image watermarking algorithm based on discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition (SVD) using genetic algorithm (GA) for medical images. The natural image is chosen as cover image and is decomposed up to three levels using discrete wavelet transform. The medical image is chosen as a watermark. The genetic algorithm is used to embed and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 36–44 Read article
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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Hybrid Beamforming Strategies for mm-wave Massive MIMO System
Abstract: Hybrid analog and digital beamforming (HBF) has emerged as a compelling solution for millimetre-wave (mm-wave) communication systems, addressing the need for efficient beamforming while minimizing hardware costs and power consumption. We optimise HBF for mm-wave Massive MIMO systems in the present article. Using the Spectral efficiency and bit rate error as the performance metrics to assess transmission reliability. To reduce computational complexity, we introduce a low-complexity singular value decomposition and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 22–28 Read article
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A Review of Video Shot Boundary Detection (SBD) technique
Abstract: The first step in effective video management system which provides the facility of content based video search, analysis and retrieval system is Video Shot Boundary Detection (SBD). A shot is a sequence of frames obtained from a single camera without interrupting it. A video contains a lot of shots that are accompanied with transitions from one shot to another. When shot transition occurs over a few number of frames, it …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 59–70 Read article
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A Hybrid Image Codec Using Singular Value Decomposition and Adaptively Scanned Wavelet Difference Reduction Method
Abstract: AbstractIn this paper, a hybrid image codec for the gray scale images is proposed. It practices singular value decomposition (SVD) and adaptively scanned wavelet difference reduction (ASWDR) technique for compression. The proposed hybrid method retains the advantage of high peak signal to noise ratio (PSNR) value at a level of compression. The image is first compressed by SVD, which is a well-established approach to removing interpixel redundancies for reducing some …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 4–15 Read article
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Big Data Dimensionality Reduction Technique with Deep Autoencoder
Abstract: Dimensionality reduction refers to the act of narrowing the focus from an abundance of potential variables to a more manageable set. Google created the open-source Flutter framework for creating mobile apps. The issue of high-dimensional data hindered the system's effectiveness in terms of providing correct findings (the quantity of false-positive, negative, true-positive, and negative outcomes). The process of solving a classification problem, carrying out a precise visualization, and transmitting vast …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article
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A Survey on Audio Steganography and Audio Cryptography
Abstract: AbstractReliably secure mechanisms are required to protect most untold and blueprint of defense information against vulnerabilities like ID spoofing and unauthorized access to the top most system of a country because of secured access to the Internet and data resources has a high impact in the defense system. For this purpose techniques related to Cryptography and digital Watermarking have been mostly used. For embedding information into objects such as images, …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 64–68 Read article
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Matrix Factorization and Tensor Decomposition at Scale: Mathematical Foundations and Computational Approaches
Abstract: Matrix factorization and tensor decomposition techniques have emerged as fundamental tools in machine learning and data science for handling high dimensional data efficiently. This paper presents a comprehensive analysis of scalable matrix factorization and tensor decomposition methods, focusing on their mathematical foundations, computational complexity, and practical applications. We examine key algorithms including Singular Value Decomposition (SVD), Non-negative Matrix Factorization (NMF), CP decomposition, and Tucker decomposition, with particular emphasis on their …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 56–59 Read article
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Contrast Image Enhancement with its Techniques and Problems: A Survey
Abstract: Abstract—Image Enhancement (IE)deal with improving the image togivesadditional details. Subsequently image transparency is very simply affected by lightening, climate or tools which have been utilized to capture the image. These situationscan lead to image undergo from low contrast and information loss. The coreobjective of IE is to highlight detail which is unseen in image or to enhance contrast in a small contrast image. This paper shows a literature surveyof someIE …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 23–29 Read article
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Gait Based Person Identification Using Kohonen Self-Organizing Mapping Technique
Abstract: Though gait recognition system has some special security features, it has some limitations like viewing angle variation, slow or fast walk and carrying a bag etc. This paper has an advantage of removing these limitations by using gait energy image with Kohonen self-organizing mapping technique. This model proposes the method that is developed by Partial least square (PLS) used for features selection and singular value decomposition (SVD) used for dimensionality …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Multi-loop Adaptive Internal Model Controller for Two Interacting Conical Tank Process
Abstract: In this paper, an adaptive multi-loop internal model control (IMC) scheme is proposed for nonlinear process. Nonlinear multivariable process is decomposed into linear single input single output process. The interaction effect and illness of each linear region is analyzed by RGA (Relative Gain Array) and singular value decomposition method (SVD). It is a matrix technique used to determine condition number of steady state plant to avoid sensitivity problem which arises …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 21–31 Read article
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Person Identification Using Iris, Facial Image and Fingerprint with the Combined Algorithm of Principle Component Analysis and Singular Value Decomposition
Abstract: In this research, we consider three most important biometric features such as fingerprint, iris, and facial image to identify a person more precisely. Unimodal biometric system has several problems, such as noisy background data, non-universality and spoof attacks. Multimodal biometric systems can solve these limitations effectively by using two or more individual modalities. This system propose the Multimodal biometric systems on fingerprint, iris and facial image using combined algorithm of …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 29–34 Read article