By Topic

Interframe predictive coding of images using motion estimation and vector optimization

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
$31 $13
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

2 Author(s)
Cheng-Chang Lu ; Dept. of Math. & Comput. Sci., Kent State Univ., OH, USA ; Yong Ho Shin

A vector quantization (VQ) scheme is proposed for image coding to achieve high compression ratios in visual communication applications. For still images, an adaptive tree structured vector quantization is proposed, and the picture quality of the reconstructed image can be adjusted accordingly by changing the threshold value. For image sequences, motion compensation is employed to reduce the variance of input vectors. Then vector quantizers are designed for prediction errors and utilized to reduce bit rate and to improve the reconstructed image quality. Studies using subband VQ with motion compensation were conducted, and satisfactory results were obtained in terms of implementation complexity and compression ratios

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:38 ,  Issue: 3 )