An image fusion method based on wavelet transform and ICM

Hongmei Wang; Meili Li; Yanjun Li; Ke Zhang

doi:10.1117/12.855426

2 April 2010 An image fusion method based on wavelet transform and ICM

Hongmei Wang, Meili Li, Yanjun Li, Ke Zhang

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76510I (2010) https://doi.org/10.1117/12.855426
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

Abstract

The purpose of image fusion is to merge the redundant and complementary information of multi-sensor to get a new image which is more propitious to image processing. A novel image fusion method based on wavelet transform and intersecting cortical model (ICM) is proposed in this paper. The original image is decomposed into high-frequency subimage and low-frequency subimage firstly. A region-based method is applied to high-frequency subimage to get the fused high-frequency subimage. For the low-frequency subimage, the edge metric is computed firstly, then the edge metric is used as the input of ICM and we can get the firing map of two subimage. By comparing the firing times of each nerve cell, the fused low-frequency subimage is obtained. The fused image is then obtained by inverse wavelet transform. The effectiveness of the proposed algorithm is verified by the experimental results.

Citation Download Citation

Hongmei Wang, Meili Li, Yanjun Li, and Ke Zhang "An image fusion method based on wavelet transform and ICM", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510I (2 April 2010); https://doi.org/10.1117/12.855426

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KEYWORDS

Image fusion

Wavelet transforms

Image filtering

Nerve

Linear filtering

Visual process modeling

Image processing

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