By Topic

Embedded color image coding using context-modeled wavelet difference reduction

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)
Yufei Yuan ; Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada ; Mandal, M.K.

A novel embedded wavelet coding algorithm for color image and video compression is proposed. A color image is first represented in YUV color space. The discrete wavelet transform of each of the three color components is then calculated separately. The luminance component is compressed with context-modeled wavelet difference reduction (CM-WDR). The chrominance components are compressed using the contextual information obtained during the coding of the luminance component. Our experimental results show that the proposed algorithm performs better than two latest wavelet-based benchmark schemes, namely CEZW and JPEG2000, in terms of color SNR and component PSNR.

Published in:

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on  (Volume:3 )

Date of Conference:

17-21 May 2004