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- W2890195951 abstract "We present a new method for reconstructing a 4D light field from a random set of measurements. A 4D light field block can be represented by a sparse model in the Fourier domain. As such, the proposed algorithm reconstructs the light field, block by block, by selecting frequencies of the model that best fits the available samples, while enforcing orthogonality with the approximation residue. The method achieves a very high reconstruction quality, in terms of Peak Signal-to-Noise Ratio (PSNR). Experiments on several datasets show significant quality improvements of more than 1dB compared to state-of-the-art algorithms." @default.
- W2890195951 created "2018-09-27" @default.
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- W2890195951 date "2018-10-01" @default.
- W2890195951 modified "2023-10-03" @default.
- W2890195951 title "Compressive 4D Light Field Reconstruction Using Orthogonal Frequency Selection" @default.
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- W2890195951 doi "https://doi.org/10.1109/icip.2018.8451110" @default.
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