Graph Spectral Image Processing

Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks). Though a digital image contains pixels that reside on a regularly sampled 2-D grid, if one can...

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Veröffentlicht in:	Proceedings of the IEEE 2018-05, Vol.106 (5), p.907-930
Hauptverfasser:	Cheung, Gene, Magli, Enrico, Tanaka, Yuichi, Ng, Michael K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Digital images Digital imaging Eigenvalues and eigenfunctions Filtration Graph signal processing Graph theory Image coding Image compression Image edge detection Image filters Image processing Image restoration Image segmentation Laplace equations Pixels Remote sensors Signal processing Social network services Spectra Spectral analysis Transforms Video compression Wireless sensor networks
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