Share Email Print

Proceedings Paper

A novel image compression algorithm based on the biorthogonal invariant set multiwavelet
Author(s): Yongjun Li; Yunsong Li; Weijia Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

On the basis of the theory of the biorthogonal invariant set multiwavelets (BISM) which is established by Micchelli and Xu, a biorthogonal invariant set multi-wavelets (BISM) filter is designed and the algorithms of decomposition and reconstruction of this filter are given in this paper, and it has many characteristics, such as symmetry, compact support, orthogonality and low complexity. In this filter, the self-affine triangle domain is as support interval, and constant function is as scaling function. Advantages such as low algorithm complexity, the energy and entropy in high concentration after transformation, no blocking effect to facilitate parallel computing are analyzed when the biorthogonal invariant sets multiwavelet (BISM) filters are used image compression. Finally, the validity of image compression algorithm based on biorthogonal invariant set multiwavelet is verified by the approximate JPEG2000 framework.

Paper Details

Date Published: 21 May 2015
PDF: 13 pages
Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 950105 (21 May 2015); doi: 10.1117/12.2180767
Show Author Affiliations
Yongjun Li, Xidian Univ. (China)
Yunsong Li, Xidian Univ. (China)
Weijia Liu, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 9501:
Satellite Data Compression, Communications, and Processing XI
Bormin Huang; Chein-I Chang; Chulhee Lee; Yunsong Li; Qian Du, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?