Riesz pyramids for fast phase-based video magnification

We present a new compact image pyramid representation, the Riesz pyramid, that can be used for real-time phase-based motion magnification. Our new representation is less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid, and can be implemented using comp...

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Main Authors: Wadhwa, Neal, Rubinstein, Michael, Durand, Fredo, Freeman, William T.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
Online Access:http://hdl.handle.net/1721.1/100016
https://orcid.org/0000-0002-3707-3807
https://orcid.org/0000-0002-2902-6752
https://orcid.org/0000-0001-9919-069X
https://orcid.org/0000-0002-2231-7995
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author Wadhwa, Neal
Rubinstein, Michael
Durand, Fredo
Freeman, William T.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Wadhwa, Neal
Rubinstein, Michael
Durand, Fredo
Freeman, William T.
author_sort Wadhwa, Neal
collection MIT
description We present a new compact image pyramid representation, the Riesz pyramid, that can be used for real-time phase-based motion magnification. Our new representation is less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid, and can be implemented using compact, efficient linear filters in the spatial domain. Motion-magnified videos produced with this new representation are of comparable quality to those produced with the complex steerable pyramid. When used with phase-based video magnification, the Riesz pyramid phase-shifts image features along only their dominant orientation rather than every orientation like the complex steerable pyramid.
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spelling mit-1721.1/1000162022-10-01T14:47:08Z Riesz pyramids for fast phase-based video magnification Wadhwa, Neal Rubinstein, Michael Durand, Fredo Freeman, William T. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Mathematics Wadhwa, Neal Rubinstein, Michael Durand, Fredo Freeman, William T. We present a new compact image pyramid representation, the Riesz pyramid, that can be used for real-time phase-based motion magnification. Our new representation is less overcomplete than even the smallest two orientation, octave-bandwidth complex steerable pyramid, and can be implemented using compact, efficient linear filters in the spatial domain. Motion-magnified videos produced with this new representation are of comparable quality to those produced with the complex steerable pyramid. When used with phase-based video magnification, the Riesz pyramid phase-shifts image features along only their dominant orientation rather than every orientation like the complex steerable pyramid. Quanta Computer (Firm) Shell Research National Science Foundation (U.S.) (CGV-1111415) Microsoft Research (PhD Fellowship) Massachusetts Institute of Technology. Department of Mathematics National Science Foundation (U.S.). Graduate Research Fellowship (Grant 1122374) 2015-11-24T13:27:34Z 2015-11-24T13:27:34Z 2014-05 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-5188-8 http://hdl.handle.net/1721.1/100016 Wadhwa, Neal, Michael Rubinstein, Fredo Durand, and William T. Freeman. “Riesz Pyramids for Fast Phase-Based Video Magnification.” 2014 IEEE International Conference on Computational Photography (ICCP) (May 2014). https://orcid.org/0000-0002-3707-3807 https://orcid.org/0000-0002-2902-6752 https://orcid.org/0000-0001-9919-069X https://orcid.org/0000-0002-2231-7995 en_US http://dx.doi.org/10.1109/ICCPHOT.2014.6831820 Proceedings of the 2014 IEEE International Conference on Computational Photography (ICCP) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain
spellingShingle Wadhwa, Neal
Rubinstein, Michael
Durand, Fredo
Freeman, William T.
Riesz pyramids for fast phase-based video magnification
title Riesz pyramids for fast phase-based video magnification
title_full Riesz pyramids for fast phase-based video magnification
title_fullStr Riesz pyramids for fast phase-based video magnification
title_full_unstemmed Riesz pyramids for fast phase-based video magnification
title_short Riesz pyramids for fast phase-based video magnification
title_sort riesz pyramids for fast phase based video magnification
url http://hdl.handle.net/1721.1/100016
https://orcid.org/0000-0002-3707-3807
https://orcid.org/0000-0002-2902-6752
https://orcid.org/0000-0001-9919-069X
https://orcid.org/0000-0002-2231-7995
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