Paper
22 October 1993 Image compression with the wavelet transform
Jeffrey D. Argast, Malan D. Rampton, Xin Qiu, Todd K. Moon
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157892
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey D. Argast, Malan D. Rampton, Xin Qiu, and Todd K. Moon "Image compression with the wavelet transform", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157892
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Wavelets

Reconstruction algorithms

Wavelet transforms

Image resolution

Algorithm development

Digital imaging

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