By Topic

Wavelet-Based Embedded Image Coding Using Dynamic Index Reordering 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
$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)
Jungwon Lee ; Georgia Inst. of Technol., Atlanta, GA ; Anderson, D.V.

We propose an improved wavelet-based embedded image coding scheme using dynamic index reordering vector quantization. The successive approximation process in embedded image coding is defined as a temporal process, and dynamic index reordering vector quantization is applied to the temporal domain. In this method, the redundancy in consecutive angle or pattern transition is exploited. An efficient encoding and decoding algorithm is also presented to alleviate the computational complexity of dynamic index reordering vector quantization.

Published in:

Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th

Date of Conference:

4-7 Jan. 2009