A Novel Compression Scheme Based on Hybrid Tucker-Vector Quantization Via Tensor Sketching for Dynamic Light Fields Acquired Through Coded Aperture Camera
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9687103/9687154/09687155.pdf?arnumber=9687155
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Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
2. A Hybrid Tucker-VQ Tensor Sketch decomposition model for coding and streaming real world light fields using stack of differently focused images;Pattern Recognition Letters;2022-07
3. An integrated learning and approximation scheme for coding of static or dynamic light fields based on hybrid Tucker–Karhunen–Loève transform‐singular value decomposition via tensor double sketching;IET Signal Processing;2022-06-29
4. A Hierarchical Approach for Lossy Light Field Compression With Multiple Bit Rates Based on Tucker Decomposition via Random Sketching;IEEE Access;2022
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