Image Processing Reference
In-Depth Information
Moreover, it is also possible to see that, generally, by increasing the patch size
the performance of
3DHolo Scalable
is improved. For example, by increasing the
patch size from 4
10 for the test image
Plane and Toy
(see Fig.
5.16
and
Table
5.1
), the BD gains compared to the
HEVC Simulcast
increased from 1.48 dB/
4to10
21.58 % (
Basic Rendering
,
in Fig.
5.16c
). This can be explained by the larger amount of information from the
original 3D holoscopic image that is used to generate the various lower-layers
views.
20.13 % (
Basic Rendering
; in Fig.
5.16a
) to 1.68 dB/
5.6 Final Remarks
3D holoscopic imaging is an advantageous solution for 3D video systems, which
opens new degrees of freedom in terms of content production and manipulation and
also improves the users
viewing experience. However, in order to provide 3D
holoscopic content with convenient visual quality in terms of resolution and 3D
perception, acquisition and display devices with very high resolution are required.
To deal with this large amount of data suitable representation formats and efficient
coding tools become of paramount importance. In this chapter, it is shown that
representations based on the micro-image format presented better rate-distortion
performance for the tested images, compared to viewpoint and ray-space image
representations.
Another important coding requirement that cannot be left aside is backward
compatibility with legacy 2D and 3D displays. In this context, the 3D holoscopic
coding solution described in this chapter provides backward compatibility by using
a multi-layer display scalable coding architecture. It is shown that this display
scalable coding scheme always outperforms the simulcast solution based on HEVC.
Furthermore, a significant improvement in the overall performance can still be
reached by combining the inter-layer and the self-similarity compensated predic-
tion methods.
'
References
1. Lippmann G (1908)
´
preuves r´versibles donnant la sensation du relief. Journal de Physique
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2. Aggoun A, Tsekleves E, Swash MR, Zarpalas D, Dimou A, Daras P et al (2013) Immersive 3D
holoscopic video system. IEEE MultiMedia 20(1):28-37
3. Georgiev T, Yu Z, Lumsdaine A, Goma S (2013) Lytro camera technology: theory, algorithms,
performance analysis. In: Proc SPIE 8667, Multimedia Content and Mobile Devices. p 86671
J-1-10
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http://www.raytrix.de/
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