Lossless Light Field Compression Using 4D Wavelet Transforms

This paper describes a lossless light field compression algorithm that exploits the redundancies present in all four dimensions of the light field using a 4D wavelet transform. We first group spatially collocated pixels from each view to form a hyper-pixel view. The redundancy present in each hyper-...

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Bibliographic Details
Main Authors: Farrugia, Reuben A., Briffa, Johann A.
Format: Conference Proceeding
Language:English
Subjects:
4D Wavelet Transform
compression
Decorrelation
Image coding
light fields
lossless coding
Redundancy
Transform coding
Two dimensional displays
Wavelet transforms
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Summary:This paper describes a lossless light field compression algorithm that exploits the redundancies present in all four dimensions of the light field using a 4D wavelet transform. We first group spatially collocated pixels from each view to form a hyper-pixel view. The redundancy present in each hyper-pixel is decorrelated using a 2D Haar wavelet transform. This process removes the angular correlations present in the light field. Nevertheless, each angular view is still spatially correlated. The 2D Cohen-Daubachies-Feaveau 5/3 wavelet transform is then employed to suppress the spatial redundacy of the light field. The resulting coefficients of the decorrelated light fields are then encoded using an arithmetic coding scheme. Simulation results demonstrate that the proposed lossless light field compression algorithm outperforms the lossless versions of JPEG, JPEG2000 and HEVC, and achieves a 47% bitrate reduction compared to the state of the art approach.
ISSN:2381-8549
DOI:10.1109/ICIP.2019.8802937