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- W2783991429 abstract "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 2D grid, if one can design an appropriate underlying graph connecting pixels with weights that reflect the image structure, then one can interpret the image (or image patch) as a signal on a graph, and apply GSP tools for processing and analysis of the signal in graph spectral domain. In this article, we overview recent graph spectral techniques in GSP specifically for image / video processing. The topics covered include image compression, image restoration, image filtering and image segmentation." @default.
- W2783991429 created "2018-01-26" @default.
- W2783991429 creator A5032045741 @default.
- W2783991429 creator A5034486931 @default.
- W2783991429 creator A5038897476 @default.
- W2783991429 creator A5007311789 @default.
- W2783991429 date "2018-01-15" @default.
- W2783991429 modified "2023-09-27" @default.
- W2783991429 title "Graph Spectral Image Processing" @default.
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