Feature-level image fusion technique based on wavelet transform

Details Feature-level image fusion technique based on wavelet transform Feature-level image fusion technique based on wavelet transform

Sep 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4919..289f&link_type=abstract

Advanced Materials and Devices for Sensing and Imaging. Edited by Yao, Jianquan; Ishii, Yukihiro. Proceedings of the SPIE, Volu

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Scientific paper

The character of MRA (Multi-resolution Analysis) of wavelet transform can make the image be divided into different frequency spaces, so the image information in different frequency spaces can be processed and the features of the original image can be controlled. Wavelet transform is used widely in image compressing, edge detecting, noise filtering, image fusing etc. Based on Mallat fast algorithm in this paper, the noise of the image is filtered with threshold method after decomposing. Then the weighing operator and the comparing operator are applied for the image reconstructing, and feature-level image fusing is accomplished in practice. In contrast, it is better than the effect of other methods.

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