Image vector quantization with block-adaptive scalar prediction

Smita Gupta; Allen Gersho

doi:10.1117/12.50242

1 November 1991 Image vector quantization with block-adaptive scalar prediction

Smita Gupta, Allen Gersho

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50242
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

A novel method for block coding of images is presented which combines 2-D scalar prediction with vector quantization. The input image is divided into spatially contiguous, non-overlapping square blocks and the inherent spatial nonstationarity is modeled by adaptation of the scalar predictor to each block. A new technique for the quantization of predictor coefficients is introduced which ensures the stability of the resultant inverse prediction error filter. Simulation results show that the predictor adaptation method leads to significantly improved performance compared to a coder with a fixed predictor for a nominal increase in the overall bit rate. When compared with predictive vector quantization, our coder provides higher coding gain and better perceptual quality.

Citation Download Citation

Smita Gupta and Allen Gersho "Image vector quantization with block-adaptive scalar prediction", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50242

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