Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

A hybrid approach of wavelet packet and directional decomposition for image compression

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)
Chang-N Zhang ; Dept. of Comput. Sci., Regina Univ., Sask., Canada ; Wu, X.

In this paper, a novel image compression technique, the combination of wavelet packet transform and directional decomposition, is proposed. Wavelet packet transform is an increasingly remarkable approach which outperforms the standard wavelet transform in image coding. It can be employed to exploit the image redundancy efficiently and therefore obtain a high compression ratio. Directional filtering coding technique, as one of the "second generation image coding techniques", first introduced the concept of directional decomposition. By placing emphasis on edge detection to preserve edge information to exploit the fact that the human visual system is more sensitive to image edge features, it is generally capable to obtain a relatively high compression ratio. The approach proposed in this paper decomposed an image into a low frequency component and a number of high frequency components, with the edges on each high frequency component at its own directions. By a combination process of Cartesian coordinate rotation transform, interpolation, wavelet packet transform, and a coding algorithm, the image is reconstructed at an improved visual quality at the same bitrate compared to the common wavelet pyramid algorithm.

Published in:

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on  (Volume:2 )

Date of Conference:

9-12 May 1999