Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding

Graph-based transforms are powerful tools for signal representation and energy compaction. However, their use for high dimensional signals such as light fields poses obvious problems of complexity. To overcome this difficulty, one can consider local graph transforms defined on supports of limited di...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 30; p. 1
Main Authors:	Rizkallah, Mira, Maugey, Thomas, Guillemot, Christine
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	Approximation theory Clustering Clustering algorithms Coarsening Coding Complexity compression Compression efficiency Computer Science Correlation Distortion Electric distortion Encoding Energy compaction Graph optimization graph partitioning graph reduction graph transforms Graphic methods Image coding Image compression Light fields Low rank approximations Optimization Rate distortion performance Rate-distortion Signal and Image Processing Signal correlation Signal distortion Signal representations Spectral clustering super-rays Transforms Video compression Light fields graph transforms graph partitioning compression graph reduction super-rays
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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