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Proceedings Paper

An image fusion method based on directional contrast and area-based standard deviation
Author(s): Guixi Liu; Wenjin Chen; Wenjie Ling
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Paper Abstract

A novel multi-resolution image fusion method based on maximum directional contrast and area-based standard deviation is presented. First the source images are performed the multi-resolution wavelet decomposition and the directional contrast and area-based standard deviation are defined. And then, the wavelet coefficients for the fused image can be obtained by means of the fusion rules based on maximum directional contrast and area-based standard deviation. Finally, the fused image is reconstructed by inverse wavelet transform. By this scheme, the contrast and details from each original image are emphasized and enhanced in the fused image. The experimental results show that the fusion algorithm presented here is much effective.

Paper Details

Date Published: 8 February 2005
PDF: 7 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.573576
Show Author Affiliations
Guixi Liu, Xidian Univ. (China)
Wenjin Chen, Xidian Univ. (China)
Wenjie Ling, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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