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A STUDY ON THE 4D SPARSITY OF JPEG PLENO LIGHT FIELDS USING THE DISCRETE COSINE TRANSFORM

Citation Author(s):
Gustavo Alves, Márcio P. Pereira, Murilo B. de Carvalho, Fernando Pereira, Carla L. Pagliari, Vanessa Testoni, Eduardo A. B. da Silva
Submitted by:
Gustavo Alves
Last updated:
4 October 2018 - 9:24am
Document Type:
Poster
Document Year:
2018
Event:
Presenters Name:
Gustavo de Oliveira e Alves
Paper Code:
MA.P3.5
Categories:

Abstract 

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.

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