LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22825
Abstract: The traditional process of disease diagnosis from medical images follows a manual process, which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an assistive tool to improve the diagnosis process. In… read more here.
Keywords: wavelet; lpnet; pooling strategies; discrete wavelet ... See more keywords
A novel audio watermarking scheme using ensemble-based watermark detector and discrete wavelet transform
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05389-2
Abstract: Most existing extraction techniques in audio watermarking use conventional techniques in which some sets of special rules based on reverse embedding rules are used for watermark extraction and have many weaknesses, like very low robustness… read more here.
Keywords: extraction; based watermark; wavelet transform; discrete wavelet ... See more keywords
Denoising Brain Images with the Aid of Discrete Wavelet Transform and Monarch Butterfly Optimization with Different Noises
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1069-4
Abstract: The aim of this paper is to denoise the high noise density image proficiently with minimal computation cost using various techniques. This paper proposes an approach for image denoising based on Discrete Wavelet Transform (DWT)… read more here.
Keywords: wavelet transform; butterfly optimization; optimization; monarch butterfly ... See more keywords
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.104199
Abstract: MOTIVATION AND OBJECTIVE Obstructive sleep apnea (OSA) is a sleep disorder identified in nearly 10% of middle-aged people, which deteriorates the normal functioning of human organs, notably that of the heart. Furthermore, untreated OSA is… read more here.
Keywords: apnea; wavelet transform; discrete wavelet; obstructive sleep ... See more keywords
Entropy based texture watermarking using discrete wavelet transform
Sign Up to like & getrecommendations! Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2018.01.136
Abstract: Abstract This paper proposes a novel image watermarking scheme using entropy of the host and texture of the watermark images. Entropy is evaluated for the discrete wavelet transform coefficients of the host image. The subband… read more here.
Keywords: watermark; entropy based; wavelet transform; discrete wavelet ... See more keywords
New method for denoising borehole transient electromagnetic data with discrete wavelet transform
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2019.05.009
Abstract: Abstract Discrete wavelet transform (DWT) has been widely used as a useful tool in denoising geophysical data for its outstanding feature of detecting singularities and transients. In this paper, we develop a new strategy of… read more here.
Keywords: discrete wavelet; denoising borehole; wavelet transform; transient electromagnetic ... See more keywords
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.034
Abstract: Hyperspectral image (HSI) classification is one of the fundamental tasks in HSI analysis. Recently, many approaches have been extensively studied to improve the classification performance, among which integrating the spatial information underlying HSIs is a… read more here.
Keywords: classification; markov random; dimensional discrete; wavelet transform ... See more keywords
Hybrid of discrete wavelet transform and adaptive neuro fuzzy inference system for overall driving behavior recognition
Sign Up to like & getrecommendations! Published in 2018 at "Transportation Research Part F: Traffic Psychology and Behaviour"
DOI: 10.1016/j.trf.2018.06.044
Abstract: Abstract Monitoring and evaluating of driving behavior is the main goal of this paper that encourage us to develop a new system based on Inertial Measurement Unit (IMU) sensors of smartphones. In this system, a… read more here.
Keywords: overall driving; system; driving behavior; hybrid discrete ... See more keywords
OCT image denoising algorithm based on discrete wavelet transform and spatial domain feature fusion
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Modern Optics"
DOI: 10.1080/09500340.2023.2197520
Abstract: Optical coherence tomography (OCT) is an emerging optical imaging modality with high resolution and non-invasive, which plays an important role in applications such as material detection and disease diagnosis, especially for ophthalmic retinal diseases such… read more here.
Keywords: oct image; based discrete; wavelet transform; image denoising ... See more keywords
Secure Medical Image Communication Using Fragile Data Hiding Based on Discrete Wavelet Transform and A₅ Lattice Vector Quantization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3238575
Abstract: Secure communication of medical images is essential to telemedicine. Message Authentication Codes (MAC) can be embedded inside medical images to protect their integrity. Fragile watermarking algorithms are suitable options since they can be used to… read more here.
Keywords: fragile data; medical images; medical image; discrete wavelet ... See more keywords
An Automatic R and T Peak Detection Method Based on the Combination of Hierarchical Clustering and Discrete Wavelet Transform
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2020.2973982
Abstract: The detection and delineation of QRS-complexes and T-waves in Electrocardiogram (ECG) is an important task because these features are associated with the cardiac abnormalities including ventricular arrhythmias that may lead to sudden cardiac death. In… read more here.
Keywords: hierarchical clustering; peak detection; discrete wavelet; database ... See more keywords