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Proceedings Paper

Image compression with the wavelet transform
Author(s): Jeffrey D. Argast; Malan D. Rampton; Xin Qiu; Todd K. Moon
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Paper Abstract

We present a new algorithm for coefficient selection during image compression using the wavelet transform for decomposition and reconstruction. This new algorithm assigns a weight to each scale so that coefficients from a high resolution scale are more likely to be discarded before coefficients from a low resolution scale. Results show our algorithm introduces less error into the reconstructed image than the sort method developed by DeVore/em et al.

Paper Details

Date Published: 22 October 1993
PDF: 10 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157892
Show Author Affiliations
Jeffrey D. Argast, Utah State Univ. (United States)
Malan D. Rampton, Utah State Univ. (United States)
Xin Qiu, Utah State Univ. (United States)
Todd K. Moon, Utah State Univ. (United States)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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