@inproceedings{fc03524a3edb4ea19781c0ae49fee1bb,
title = "Compressive light field imaging with weighted random projections",
abstract = "Traditional light field imagers do not exploit the inherent spatio-angular correlations in light field of natural scenes towards reducing the number of measurements and minimizing the spatio-angular resolution trade-off. Here we describe a compressive light field imager that utilizes the prior knowledge of sparsity/compressibility along the spatial dimension of the light field to make compressive measurements. The reconstruction performance is analyzed for three choices of measurement bases: wavelet, random, and weighted random using a simulation study. We find that the weighted random bases outperforms both the coherent wavelet basis and the incoherent random basis on a light field data set. Specifically, the simulation study shows that the weighted random basis achieves 44% to 50% lower reconstruction error compared to wavelet and random bases for a compression ratio of three.",
keywords = "Compressive imaging, Discrete Wavelet transform, Light Field, Random projections, Structured sparsity",
author = "Amit Ashok and Neifeld, {Mark A.}",
year = "2011",
doi = "10.1117/12.894367",
language = "English (US)",
isbn = "9780819487759",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems",
note = "Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems ; Conference date: 21-08-2011 Through 25-08-2011",
}