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X. Su, M. Rizkallah, T. Maugey, C. Guillemot,
"Graph-based light fields representation and coding using geometry information", IEEE International Conference on Image Processing (ICIP), Beijing, 17-20 Sept. 2017.(pdf) |
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(a) GBR for light field |
(b) Example of graph connections between two views. |
(c) Graph connections between two views. |
Fig.1. Graph based representation (GBR) adapted to light fields |
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Fig.2. Proposed encoder |
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Fig.3. Connections of the disoccluded pixels. |
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GBR |
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HEVC |
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[1] Sven Wanner, Stephan Meister, and Bastian Goldluecke, “Datasets and Benchmarks for Densely Sampled 4D Light Fields,” in VMV. Citeseer, 2013, pp. 225–226.
[2] Blender, “Blender,” https://www.blender.org/, [Online].
[3] Thomas Maugey, Antonio Ortega, and Pascal Frossard, “Graph-based representation for multiview image geometry,” IEEE Transactions on Image Processing, vol. 24, no. 5, pp. 1573–1586, 2015.
[4] Xin Su, Thomas Maugey, and Christine Guillemot, “Rate-Distortion Optimized Graph-Based Representation for Multiview with Complex Camera Configurations,” IEEE Trans. on Image Processing, submitted, 2017.
[5] Xin Su, Thomas Maugey, and Christine Guillemot, “Graph-based representation for multiview images with complex camera configurations,” in Image Processing (ICIP), 2016 IEEE International Conference on. IEEE, 2016, pp. 1554–1558.
[6] David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst, “The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 83–98, 2013.