Subband coding of prediction error images using constrained-storage VQ

Christoph Stiller; Olaf Hirsch

doi:10.1117/12.139089

12 January 1993 Subband coding of prediction error images using constrained-storage VQ

Christoph Stiller, Olaf Hirsch

Proceedings Volume 1771, Applications of Digital Image Processing XV; (1993) https://doi.org/10.1117/12.139089
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

A subband coding scheme for the prediction error in a hybrid coder at a rate of 8 kbit/s is presented. In order to achieve small adress overhead we propose intraband encoding of rectangular shaped regions. An iterative procedure of relaxation type which jointly considers all subbands determines number, size and position oi update rectangles. It is driven by optimization of the coding-gain per bit ratio. The prediction error amplitudes within the selected rectangles compose vectors of different dimensions. They are quantized by a multi codebook vector quantizer which contains one codebook per vector dimension. The problem of large storage requirement of multi codebook vector quantizers is circumvented by a codebook sharing approach. A training procedure for the constrained-storage VQ is presented. In terms of SNR it performs less than 0.5 dB worse than a common multi codebook VQ while saving 90% storage.

Citation Download Citation

Christoph Stiller and Olaf Hirsch "Subband coding of prediction error images using constrained-storage VQ", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139089

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