University of Bahrain
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Performance Enhancement of Eulerian Video Magnification

Show simple item record Shahadi, Haider Ismael Al-allaq, Zaid Jabbar Albattat, Hayder Jawad Farhan, Hameed Rasool 2023-03-13T20:10:10Z 2023-03-13T20:10:10Z 2023-03-13
dc.identifier.issn 2210-142X
dc.description.abstract In this study, a linear and phase-based Eulerian video magnification (EVM) methods are developed to minimize magnified noises and processing time. The developed approaches utilize the Lanczos resampling algorithm to reduce the frames’ size of the source video so that the size of the processed data is significantly reduced. Then spatial decomposition is applied to the resized frames. Subsequently, temporal filters with specific cut-off frequencies are also used to filter only the desired frequencies to be amplified and then add them to the decomposed frames. The magnified frames are processed by a wavelet denoising algorithm to locate distributed noise over the different frequency bands and then remove it. The resulted denoised-magnified frames are resized up and then reconstructed by the spatial synthesis process. The experiments show the superiority and effectiveness of the developed EVM approaches compared to the conventional ones and other related approaches in terms of the execution time and the quality of the magnified video. The developed EVM approach can be used in several applications such as the detection of human vital signs without contact so that it is very useful to avoid infection in several diseases such as Covid-19. Furthermore, it can be used in detection of human mood and lying detection, detection and localization of material and liquid variations. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Eulerian video magnification (EVM), Linear-based EVM, Phase-based EVM, Lanczos resampling algorithm, wavelet denoising, computer vision applications, automatic motion detection. en_US
dc.title Performance Enhancement of Eulerian Video Magnification en_US
dc.type Article en_US
dc.volume 13 en_US
dc.issue 1 en_US
dc.pagestart 399 en_US
dc.pageend 414 en_US
dc.contributor.authoraffiliation Electrical and electronic Engineering, University of Kerbala, 56001, Karbala, Iraq en_US
dc.contributor.authoraffiliation Communication Techniques Eng. Dept., Al-Furat Al-Awsat Technical University, 54003, Kufa, Iraq en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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