Psychovisual lattice vector quantization in subband image coding

Dominique Barba; Albrecht Neudecker

doi:10.1117/12.158010

22 October 1993 Psychovisual lattice vector quantization in subband image coding

Dominique Barba, Albrecht Neudecker

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158010
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

In this paper, we present a way of incorporating some important features of the human visual system in the coding of images within the framework of subband decomposition and of lattice vector quantization (VQ). As lattice VQ uses regular distribution of nodes, we use a non-linear pre-normalization of the signals in each subband, taking into account the visibility of impairments in the subbands and particularly the masking effects. Visually optimized subband lattice VQ allows us to encode complex images at bit rates between 0.4 to 0.6 bit/pixel without any visible distortion on a high-quality display.

Citation Download Citation

Dominique Barba and Albrecht Neudecker "Psychovisual lattice vector quantization in subband image coding", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.158010

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