Use of a human visual model in subband coding of color video signal with adaptive chrominance signal vector quantization

Dominique Barba; Jose Hanen

doi:10.1117/12.50225

1 November 1991 Use of a human visual model in subband coding of color video signal with adaptive chrominance signal vector quantization

Dominique Barba, Jose Hanen

Author Affiliations +

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50225
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

This paper deals with vector quantization of sub-band video color images with a high visual quality. If lots of papers have already been published about the use of both techniques for monochrome still images, few of them work with color images. Our work concerns the use of some important human visual system properties to derive an optimized vector quantization of sub-band decomposed TV images. Two major properties are used. First, spatial frequency dependence in the fovea filtering is pushed into a distortion measure for vector quantization. Secondly, and perhaps the most important is that the codebook design is performed in the splitting algorithm by incorporating two complementary thresholds in the global evaluation of the distortion for each class of the code book : a visibility threshold and an annoyance threshold. With these techniques we designed optimized codebooks (with or without classification) which allowed visual vector quantizing of the chrominance component of color video digital signal without any visible impairment and with a high compression ratio.

Citation Download Citation

Dominique Barba and Jose Hanen "Use of a human visual model in subband coding of color video signal with adaptive chrominance signal vector quantization", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50225

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