Lossless compression of Light Fields using multi-reference Minimum Rate Predictors
Santos, João M.
Cruz, L. A. S. C.
Lossless compression of Light Fields using multi-reference Minimum Rate Predictors, Proc IEEE Data Compression Conference - DCC, Snowbird, Utah, United States, Vol. , pp. - , March, 2019.
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This paper presents a method to improve the lossless compression efficiency of light field encoding based on Minimum Rate Predictors (MRP). The proposed method relies on the use of multiple references, either micro-images or sub-aperture images, to provide a richer set of correlated pixels for prediction.
The results show better compression ratios than conventional versions of MRP, for both representation formats (micro-image and sub-aperture image arrays), achieving gains ranging from 16.9% to 21.2%. Furthermore, it is also shown that the proposed method consistently outperforms the state-of-the-art lossless encoders HEVC and JPEG-LS.