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Proceedings Paper

Fast reconstruction algorithm from modules maxima of signal wavelet transform and its application in enhancement of medical images
Author(s): Guangtao Zhai; Fengrong Sun; Haohao Song; Mingqiang Zhang; Li Liu; Changyu Wang
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Paper Abstract

The modulus maxima of a signal's wavelet transform on different levels contain important information of the signal, which can be help to construct wavelet coefficients. A fast algorithm based on Hermite interpolation polynomial for reconstructing signal from its wavelet transform maxima is proposed in this paper. An implementation of this algorithm in medical image enhancement is also discussed. Numerical experiments have shown that compared with the Alternating Projection algorithm proposed by Mallat, this reconstruction algorithm is simpler, more efficient, and at the same time keeps high reconstruction Signal to Noise Ratio. When applied to the image contract enhancement, the computing time of this algorithm is much less compared with the one using Mallat's Alternative Projection, and the results are almost the same, so it is a practical fast reconstruction algorithm.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538814
Show Author Affiliations
Guangtao Zhai, Shandong Univ. (China)
Fengrong Sun, Shandong Univ. (China)
Haohao Song, Shandong Univ. (China)
Mingqiang Zhang, Shandong Univ. (China)
Li Liu, Shandong Univ. (China)
Changyu Wang, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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