By Topic

Embedded image compression using DCT based subband decomposition and SLCCA data organization

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)
Junqiang Lan ; Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., USA ; Zhuang, S.

Wavelet transform provides harmonic space-frequency localization and great energy compaction, but with generally high computational complexity. In this paper, an 8×8 fast discrete cosine transform (DCT) approach is adopted to perform subband decomposition, followed by SLCCA data organization and entropy coding. Simulation results showed that the embedded DCT-SLCCA image compression reduced the computational complexity to only a quarter of the wavelet based subband decomposition while the average peak signal-to-noise ratio (PSNR) degraded at the same bit rate by only 0.6 dB. The subjective image quality degradation was almost unnoticeable. Moreover, due to 8×8 fast DCT hardware implementation being commercially available, the proposed DCT-SLCCA has the potential for high performance high speed image coding and transmission.

Published in:

Multimedia Signal Processing, 2002 IEEE Workshop on

Date of Conference:

9-11 Dec. 2002