By Topic

Performance analysis of wavelets in embedded zerotree-based lossless image coding schemes

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)
Ramaswamy, V.N. ; Lucent Technol., AT&T Bell Labs., Holmdel, NJ, USA ; Rangannathan, N. ; Namuduri, K.R.

In this correspondence, we present a modification to the scanning approach in the set partitioning algorithm proposed by Said and Pearlman (1996) to exploit the correlation in a local neighborhood. The wavelet filters are characterized based on the wavelet coefficients obtained after the wavelet transform. Two new criteria are proposed for evaluating the performance of wavelets in lossless image compression applications: cumulative zerotree count and monotone spectral ordering of subbands produced after wavelet transform in a multiresolution scheme. Several wavelet filters are evaluated to test the evaluation criteria. The experimental results are presented to justify the proposed performance criteria

Published in:

Signal Processing, IEEE Transactions on  (Volume:47 ,  Issue: 3 )