By Topic

Image coding based on visual vector quantization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Qiu, G. ; Derby Univ., UK ; Varley, M.R. ; Terrell, T.J.

The authors present a novel image coding technique which explicitly aims to retain perceptually important features of the image. The system exploits the psychovisual properties of the human visual system, in that it identifies perceptually important vector patterns (referred to as visual vectors) within small blocks of the image, and codes these using a scheme similar to vector quantization (VQ). Thus the system is referred to as visual vector quantization (VVQ). One of the main advantages of the new VVQ scheme over traditional VQ is that it is computationally much simpler, and yet its performance is comparable to that of traditional VQ. Experimental results are presented which demonstrate that the new technique can achieve visually satisfactory image reconstruction at a compression ratio as high as 17:1. Comparison of peak signal to noise ratio (PSNR) values shows that the performance of the new technique is comparable to that of other VQ-based image coders at a similar bit rate

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995