JOURNAL ARTICLE

<title>Image compression with the wavelet transform</title>

Jeffrey D. ArgastMalan D. RamptonXin QiuTodd K. Moon

Year: 1993 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2094 Pages: 1347-1356   Publisher: SPIE

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.

Keywords:
Wavelet transform Computer science Wavelet Compression (physics) Scale (ratio) Image compression Image (mathematics) Artificial intelligence Data compression Algorithm Stationary wavelet transform Wavelet packet decomposition Computer vision Image processing Physics

Metrics

3
Cited By
0.55
FWCI (Field Weighted Citation Impact)
0
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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