2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSPTM-20.2
Paper Title ORTHOGONALITY AND ZERO DC TRADEOFFS IN BIORTHOGONAL GRAPH FILTERBANKS
Authors Dion E.O. Tzamarias, Universitat Autònoma de Barcelona, Spain; Eduardo Pavez, University of Southern California, United States; Benjamin Girault, Université de Rennes, ENSAI, France; Antonio Ortega, University of Southern California, United States; Ian Blanes, Joan Serra-Sagristà, Universitat Autònoma de Barcelona, Spain
SessionSPTM-20: Signal Processing over Graphs and Sparsity-Aware Signal Processing
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Signal Processing Theory and Methods: [SIPG] Signal and Information Processing over Graphs
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Biorthogonal graph wavelet filterbanks, also known as GraphBior, are one of the most popular graph transforms used in image com- pression, but up to now, they could be designed based on two known admissible fundamental matrices: i) the random walk Laplacian, which heavily penalizes low degree pixels, and ii) the normalized Laplacian, which lacks a zero-DC response. By exploiting a new extension of the admissibility condition in GraphBior we propose a new fundamental matrix with the goal of distributing the errors of GraphBior more uniformly across pixels with different node degrees. Furthermore the proposed matrix preserves high energy compaction linked to the zero-DC GraphBior variation.