Share Email Print
cover

Proceedings Paper

Hybrid technique using spline-wavelet packets and vector quantization for high-rate image compression
Author(s): Qian L. Fridley; Andrew K. Chan; Charles K. Chui; Elaine J. Pettit; Don S. Rhines
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A hybrid algorithm for high rate image compression based on spline wavelet packets and vector quantization is presented in this paper. The algorithm consists of (1) a fast projection of an image signal onto the spline-wavelet space, (2) an efficient spline-wavelet packet decomposition algorithm, (3) a method to select the optimal number of component subimages, (4) criteria for thresholdings, and (5) vector quantization of subimages. We have compressed a test image to 0.08 bpp from 8 bpp with PSNR of 27 db.

Paper Details

Date Published: 1 November 1993
PDF: 11 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162064
Show Author Affiliations
Qian L. Fridley, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)
Charles K. Chui, Texas A&M Univ. (United States)
Elaine J. Pettit, E-Systems Inc. (United States)
Don S. Rhines, E-Systems Inc. (United States)


Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

© SPIE. Terms of Use
Back to Top