By Topic

Capsule Endoscopy Image Coding Using Wavelet-Based Adaptive Vector Quantization without Codebook Training

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

3 Author(s)
Shaou-Gang Miaou ; Chung Yuan Christian University ; Shih-Tse Chen ; Fu-Sheng Ke

The amount of image data generated by capsule endoscopy is so large that data compression is desirable. In our compression scheme, a codebook (CB) replenishment mechanism is incorporated in a wavelet-based adaptive vector quantizer (VQ). The progressive SPIHT coding is used to meet the quality demand from a user. Furthermore, in our VQ implementation, a modeling, rather than a training, technique is proposed to generate an initial CB, where a pseudo-noise sequence is used to create such a CB at both the encoder and the decoder. Experimental results show that the proposed CB modeling method produces comparable performance to the one using CB training.

Published in:

Information Technology and Applications, 2005. ICITA 2005. Third International Conference on  (Volume:2 )

Date of Conference:

4-7 July 2005