Multiview image compression based on a new basis representation

Takehiro Yamada; Toshiaki Fujii

doi:10.1117/12.872632

15 February 2011 Multiview image compression based on a new basis representation

Takehiro Yamada, Toshiaki Fujii

Proceedings Volume 7863, Stereoscopic Displays and Applications XXII; 78630E (2011) https://doi.org/10.1117/12.872632
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In order to compress the multiview image efficiently, we propose a new basis representation by using directional sampling.Because the multiview image has the static correlation related to the camera position, directional sampling can eliminate the correlation efficiently. We apply directional three dimensional Discrete Cosine Transform (directional 3D-DCT), directional three dimensional Discrete Wavelet Transform (directional 3D-DWT) and directional three dimensional Principal Component Analysis (directional 3D-PCA) to three dimensional data that has vertical, horizontal and view axis. In the experimental results, the method by using directional sampling showed better quality than conventional sampling, not only in the objective evaluation, but also in the subjective evaluation. Furthermore, the proposed method showed better Rate-PSNR than conventional method (disparity compensation).

Citation Download Citation

Takehiro Yamada and Toshiaki Fujii "Multiview image compression based on a new basis representation", Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630E (15 February 2011); https://doi.org/10.1117/12.872632

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