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Advisor(s)
Abstract(s)
This paper proposes a novel light field image compression approach with viewpoint scalability and random
access functionalities. Although current state-of-the-art image coding algorithms for light fields already achieve
high compression ratios, there is a lack of support for such functionalities, which are important for ensuring
compatibility with different displays/capturing devices, enhanced user interaction and low decoding delay.
The proposed solution enables various encoding profiles with different flexible viewpoint scalability and
random access capabilities, depending on the application scenario. When compared to other state-of-the-art
methods, the proposed approach consistently presents higher bitrate savings (44% on average), namely when
compared to pseudo-video sequence coding approach based on HEVC. Moreover, the proposed scalable codec
also outperforms MuLE and WaSP verification models, achieving average bitrate saving gains of 37% and
47%, respectively. The various flexible encoding profiles proposed add fine control to the image prediction
dependencies, which allow to exploit the tradeoff between coding efficiency and the viewpoint random access,
consequently, decreasing the maximum random access penalties that range from 0.60 to 0.15, for lenslet and
HDCA light fields.
Description
Keywords
Light field image coding Viewpoint scalability Viewpoint random access HEVC