By Topic

Region-of-interest coding based on set partitioning in hierarchical trees

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)
Keun-hyeong Park ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea ; HyunWook Park

In many image-coding applications such as Web browsing, image databases, and telemedicine, it is useful to reconstruct only a region of interest (ROI) before the rest of the image is reconstructed. In this paper, an ROI coding functionality is incorporated with the set partitioning in hierarchical trees (SPIHT) algorithm for wavelet-based image coding. By placing a higher emphasis on the transform coefficients pertaining to the ROI, the ROI is coded with higher fidelity than the rest of the image in earlier stages of progressive coding. The general thrust of this research is to identify necessary coefficients in the wavelet-transform domain for the decoder to reconstruct the desired region. This new method provides better performance than the previously presented methods

Published in:

Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:12 ,  Issue: 2 )