Riesz pyramids for fast phase-based video magnification

By Neal Wadhwa, Michael Rubinstein, Frédo Durand, William T. Freeman. 2014

228 citations recorded by the source corpus.

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.

Subfields: Computer Vision and Pattern Recognition, Media Technology

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Citations in the corpus

Learning-based Video Motion Magnification (2018, methodology): “Because the Riesz pyramid [27] gives similar results as the steerable pyramids [26], we focus our comparison on the steerable pyramid.”
Video magnification in presence of large motions (2015, methodology): “The second Eulerian magniﬁ-cation technique is based on the observation that phase variations over time correspond to motion [14, 15].”