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16 articles for “Discrete wavelet transform (DWT)”
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Analysis of Signal Processing Algorithms for Bio-Medical Applications
Abstract: Epilepsy is a burdensome brain disorder, in which heavy seizures will happen again and again. Sudden explosion of electrical activity during the seizures will create a blackout for patients and it will break the body equilibrium, so patients may fall down. Epilepsy affects a large population around the globe. It may begin at any age and last for generations. It can be controlled by the surgical removal of the brain …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 24–27 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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Digital Image Authentication on Cloud using QR Code
Abstract: In these days, many people are using social sites for sharing and uploading their life moments as images. And other users can capture or even download those digital images. Hacker can edit and modifying the original image and make a duplicate image. Modify images can then be uploading and sharing. This research generally discusses the importance of QR with Digital Watermarking. The QR Code based Digital Watermarking is possible in …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 4–8 Read article
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Improvement of BER in Wavelet Transform-based OFDM System with Kalman Filter
Abstract: AbstractWe know that bandwidth is the most precious commodity in all communication systems such as 2G, 3G and 4G. Each service provider is now searching how to accommodate a large number of users within a limited allocated bandwidth, In order to increase the data rate of wireless medium with higher performance, orthogonal frequency division multiplexing (OFDM) is chosen. In this paper, the bit error rate analysis (BER) of discrete wavelet …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 21–28 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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Efficient ADP Scheme for DWT Computation
Abstract: AbstractIn this paper, the lifting and flipping scheme for discrete wavelet transform (DWT) computation and proposed an area delay efficient lifting based DWT architecture. In this computation huge number of multipliers and adders are saved when lifting based 2-D DWT architecture implemented. The derived full-parallel lifting-based 1-level 2-D DWT structure involves half number of less multiplier than the flipping-based 2-D DWT structure. Compared with the existing lifting-based structure, the proposed …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 22–26 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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Comparative Analysis of Digital Image Watermarking using DCT and DWT
Abstract: AbstractWatermarking is a technique to hide information into digital data and provides security against intentional and unintentional attack. It is a very important and emerging field which helps to protect ownership of digital information. Watermarking is the process of inserting or hiding information behind cover data. In this paper we discussed about two digital watermarking techniques, Discrete Cosine Transform (DCT) and discrete wavelet Transform (DWT). The parameters to test robustness …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 1–5 Read article
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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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Zoom Based Image Super-Resolution: Using Two Level DWT as Feature Model
Abstract: AbstractIn this paper we present an algorithm of super-resolution (SR) imaging to reconstruct high-resolution (HR) image from sequence of low-resolution (LR) images of static scene captured at the different camera zoom factor. The resultant HR image is constructed at the resolution of the most zoomed LR image. In the proposed approach algorithm uses LR images of the static scene captured at three distinct zoom-factors. Learning based SR technique is used …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 95–105 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Password Protected Image Encryption and Decryption using Hybrid Technique for Data Security
Abstract: Abstract: Data security and data anti-corruption are some areas of cryptography which is under continuous research and development. In this paper, a password based protection scheme has been included in order to increase the level of security of data. Here a hybrid technique for data security has been proposed and compared with its non-hybrid counterparts which resulted in the hybrid technique giving better results for various parameters of study like …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 17–25 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article
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Power Quality Monitoring in Wind Solar Hybrid System
Abstract: With the development of new functionalities, solar and wind energy based hybrid systems are upcoming energy source with higher efficiency. Solar and wind energy being naturally available in abundance and non-polluting, is one of the most promising sources. Due to the development of modern power electronic devices, the power quality of wind solar hybrid system gets affected. Hence, due to the increasing usage of sensitive electronic equipments in wind solar …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 16–23 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