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A study on the 4D sparsity of light fields using the discrete cosine transform

Alves, GOA ; Pereira, M. ; Pereira, F. ; Pagliari, C.L.P. ; Testoni, V. ; Silva, E.

A study on the 4D sparsity of light fields using the discrete cosine transform, Proc ICIP Workshop on Multimedia Information Retrieval: New Trends and Challenges, Atenas, Greece, Vol. -, pp. - - -, October, 2018.

Digital Object Identifier: 10.1109/ICIP.2018.8451583

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Abstract
In this work we study the 4D sparsity of light fields using as main
tool the 4D-Discrete Cosine Transform. We analyze the two JPEG
Pleno light field datasets, namely the lenslet-based and the High-
Density Camera Array (HDCA) datasets. The results suggest that
the lenslets datasets exhibit a high 4D redundancy, with a larger
inter-view sparsity than the intra-view one. For the HDCA
datasets, there is also 4D redundancy worthy to be exploited, yet in
a smaller degree. Unlike the lenslets case, the intra-view
redundancy is much larger than the inter-view one. The results and
conclusions of this first study for light field imaging may have a
strong impact on the current and future design of efficient codecs
for this type of emerging data, notably in the context of the JPEG
Pleno standard.