Emerging Imaging Technologies: Trends and Challenges

Domański, Marek; Grajek, Tomasz; Conti, Caroline; Debono, Carl James; Faria, Sérgio M. M. de; Kovács, Péter Tamás; Lucas, Luı́s; Nunes, Paulo; Perra, Cristian; Rodrigues, Nuno M. M.; Sjöström, Mårten; Soares, Luís Ducla; Stankiewicz, Olgierd

doi:10.1007/978-3-319-77842-6_2

Cited by 2 publications

(1 citation statement)

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“…Wide-baseline LF displays offer life-like immersive experience via continuous motion parallax. In order to do so, such displays need a large amount of input data, often captured using a multi-camera array [2]. The physical size of the cameras limits how densely they can be arranged.…”

Section: Introductionmentioning

confidence: 99%

Objective Quality Evaluation of an Angularly-Continuous Light-Field Format

Tamboli

Cserkaszky

Kara

et al. 2018

2018 International Conference on 3D Immersion (IC3D)

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With the rapid advances in light-field display and camera technology, research in light-field content creation, visualization, coding and quality assessment has gained momentum. While light-field cameras are already available to the consumer, lightfield displays need to overcome several obstacles in order to become a commonplace. One of these challenges is the unavailability of a light-field visualization format which can be used across various light-field displays. Existing light-field representations are optimized for specific displays and converting them for visualization on a different display is a computationally expensive operation, often resulting in the degradation of perceptual quality. To this end, an intermediate, display-independent and angularly-continuous light-field representation format has been proposed recently, targeted towards large-field-of-view light-field displays. In this paper, we evaluate the said data format in terms of degradation in objective quality under three compression methods. We found that, while offering display-independence, the intermediate light-field format maintains the same objective quality in general and achieves higher objective quality in some cases compared to the conventional linear camera representation.

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Section: Introductionmentioning

confidence: 99%