Evaluation of a combined pre-processing and H.264-compression scheme for 3D integral images

Roger Olsson; Mårten Sjöström; Youzhi Xu

doi:10.1117/12.704330

29 January 2007 Evaluation of a combined pre-processing and H.264-compression scheme for 3D integral images

Roger Olsson, Mårten Sjöström, Youzhi Xu

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65082C (2007) https://doi.org/10.1117/12.704330
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

To provide sufficient 3D-depth fidelity, integral imaging (II) requires an increase in spatial resolution of several orders of magnitude from today's 2D images. We have recently proposed a pre-processing and compression scheme for still II-frames based on forming a pseudo video sequence (PVS) from sub images (SI), which is later coded using the H.264/MPEG-4 AVC video coding standard. The scheme has shown good performance on a set of reference images. In this paper we first investigate and present how five different ways to select the SIs when forming the PVS affect the schemes compression efficiency. We also study how the II-frame structure relates to the performance of a PVS coding scheme. Finally we examine the nature of the coding artifacts which are specific to the evaluated PVS-schemes. We can conclude that for all except the most complex reference image, all evaluated SI selection orders significantly outperforms JPEG 2000 where compression ratios of up to 342:1, while still keeping PSNR > 30 dB, is achieved. We can also confirm that when selecting PVS-scheme, the scheme which results in a higher PVS-picture resolution should be preferred to maximize compression efficiency. Our study of the coded II-frames also indicates that the SI-based PVS, contrary to other PVS schemes, tends to distribute its coding artifacts more homogenously over all 3D-scene depths.

Citation Download Citation

Roger Olsson, Mårten Sjöström, and Youzhi Xu "Evaluation of a combined pre-processing and H.264-compression scheme for 3D integral images", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65082C (29 January 2007); https://doi.org/10.1117/12.704330

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available