Image compression by parameterized-model coding of wavelet packet near-best bases

Carl Taswell

doi:10.1117/12.205382

6 April 1995 Image compression by parameterized-model coding of wavelet packet near-best bases

Carl Taswell

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205382
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Top-down tree search algorithms with non-additive information cost comparisons as decision criteria have recently been proposed by Taswell for the selection of near-best bases in wavelet packet transforms. Advantages of top-down non-additive near-best bases include faster computation speed, smaller memory requirement, and extensibility to biorthogonal wavelets in addition to orthogonal wavelets. A new compression scheme called parameterized-model coding was also proposed and demonstrated for one-dimensional signals. These methods are extended here to two-dimensional signals and applied to the compression of images. Significant improvement in compression while maintaining comparable distortion is demonstrated for parameterized-model coding relative to quantized-scalar coding. In general, the lossy compression scheme is applicable for low bit rate coding of the M largest packets of wavelet packet decompositions with wavelet packet basis libraries and the M atoms of matching pursuit decompositions with time-frequency atom dictionaries.

Citation Download Citation

Carl Taswell "Image compression by parameterized-model coding of wavelet packet near-best bases", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205382

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available