Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Multiview image compression based on LDV scheme

[+] Author Affiliations
Benjamin Battin, Cédric Niquin, Philippe Vautrot

Univ. de Reims Champagne-Ardenne (France)

Didier Debons

3DTV Solutions (France)

Laurent Lucas

Univ. de Reims Champagne-Ardenne (France) and 3DTV Solutions (France)

Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630G (February 15, 2011); doi:10.1117/12.872430
Text Size: A A A
From Conference Volume 7863

  • Stereoscopic Displays and Applications XXII
  • Andrew J. Woods; Nicolas S. Holliman; Neil A. Dodgson
  • San Francisco Airport, California, USA | January 23, 2011

abstract

In recent years, we have seen several different approaches dealing with multiview compression. First, we can find the H264/MVC extension which generates quite heavy bitstreams when used on n-views autostereoscopic medias and does not allow inter-view reconstruction. Another solution relies on the MVD (MultiView+Depth) scheme which keeps p views (n > p > 1) and their associated depth-maps. This method is not suitable for multiview compression since it does not exploit the redundancy between the p views, moreover occlusion areas cannot be accurately filled. In this paper, we present our method based on the LDV (Layered Depth Video) approach which keeps one reference view with its associated depth-map and the n-1 residual ones required to fill occluded areas. We first perform a global per-pixel matching step (providing a good consistency between each view) in order to generate one unified-color RGB texture (where a unique color is devoted to all pixels corresponding to the same 3D-point, thus avoiding illumination artifacts) and a signed integer disparity texture. Next, we extract the non-redundant information and store it into two textures (a unified-color one and a disparity one) containing the reference and the n-1 residual views. The RGB texture is compressed with a conventional DCT or DWT-based algorithm and the disparity texture with a lossless dictionary algorithm. Then, we will discuss about the signal deformations generated by our approach.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Benjamin Battin ; Cédric Niquin ; Philippe Vautrot ; Didier Debons and Laurent Lucas
"Multiview image compression based on LDV scheme", Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630G (February 15, 2011); doi:10.1117/12.872430; http://dx.doi.org/10.1117/12.872430


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.