Eulerian video magnification: a review
Many important subtle changes in the environment are invisible to the naked human eyes. These subtle changes occur because of colour variations, such as blood flow in a human face that leads to face colour change, or motion variations, such as vena movement under human skin and vibration of building...
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Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-05-01.
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LEADER | 02482 am a22003253u 4500 | ||
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001 | ijeecs20324_13679 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Shahadi, Haider Ismael |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a Albattat, Hayder J. |e author |
700 | 1 | 0 | |a Al-allaq, Zaid Jabbar |e author |
700 | 1 | 0 | |a Thahab, Ahmed Toman |e author |
245 | 0 | 0 | |a Eulerian video magnification: a review |
260 | |b Institute of Advanced Engineering and Science, |c 2020-05-01. | ||
500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20324 | ||
520 | |a Many important subtle changes in the environment are invisible to the naked human eyes. These subtle changes occur because of colour variations, such as blood flow in a human face that leads to face colour change, or motion variations, such as vena movement under human skin and vibration of buildings. The human eye requires optical microscopes to detect these variations. Alternatively, new technologies, such as high-speed imagery and computer processing, can be used to detect these variations. These computerised microscopes depend on computation rather than optical amplification to amplify subtle colour and motion changes in videos. The most popular technique to achieve computation-based microscope is the Eulerian video magnification (EVM). However, several challenges in EVM still need to be solved to meet the requirements of real time and video quality. This paper presents a comprehensive study of EVM methods and reviews the related literature. The strengths and drawbacks of existing works are discussed, and the important research fields and challenges in the area of EVM are concluded. | ||
540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
546 | |a eng | ||
690 | |a Computer science- Image processing | ||
690 | |a Eulerian video magnification; Pyramid decomposition; Spatial filters; Temporal filters; Video processing | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 18, No 2: May 2020; 799-811 | |
786 | 0 | |n 2502-4760 | |
786 | 0 | |n 2502-4752 | |
786 | 0 | |n 10.11591/ijeecs.v18.i2 | |
787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20324/13679 | |
856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20324/13679 |z Get fulltext |