Video magnification technique based on a new orthogonal complex wavelet Decomposition
| Autor: | Gamal Fahmy, Mamdouh F. Fahmy, O. M. Fahmy |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Magnification 020206 networking & telecommunications 02 engineering and technology Video quality medicine.anatomical_structure Wavelet 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Human eye Computer vision Artificial intelligence Complex wavelet transform Invariant (mathematics) business Continuous wavelet transform |
| Zdroj: | 2018 35th National Radio Science Conference (NRSC). |
| DOI: | 10.1109/nrsc.2018.8354368 |
| Popis: | Magnifying micro movements of natural videos that are undetectable by human eye, has recently received considerable interests, due to its impact in numerous applications. In this paper, we use Dual Tree Complex Wavelet Transform DT-CWT, to analyze video in order to detect and magnify micro movements to make them visible. We use DT-CWT, due to its excellent edge preserving and nearly shift invariant features. We modify the phases of the CWT wavelet coefficients of successive video frames, in order to detect any minor change in object's spatial position. The paper starts by presenting a simple technique to design orthogonal filters that construct this CWT system. Next, it is shown how to modify the phase differences between the CWT coefficients of an arbitrary frame and a reference one, resulting in image spatial magnification. This in turn, makes these micro movements seen and observable. Several simulations are given, for several video sequences, to show that the proposed technique competes very well with the existing micro magnification approaches, as it manages to yield superior video quality in far less computation time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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