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An improved algorithm for IHS transform image fusion method

2013-09-20
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This paper proposes a new image fusion method based on IHS transform, weighted average and mean filtering, which aims to enhance the multispectral color information of the fused image and retain the fast operation advantage of the traditional IHS transform fusion method. The comparison and analysis of experimental data prove that the new improved method has a significant improvement in retaining the color information of multispectral images. Key words: IHS; Weighted Average; Mean Filtering; Image Fusion; Remote Sensing Image Fusion Based on Weighted Average, Mean Filtering and IHS Transform CHANG Hua-wen, CHEN Chun-xiang （Department of Electronics and Computer Science, Guilin Institute of Technology, Guilin 541004, China） Abstract: In this paper, a new image fusion method which is based on weighted average, mean filtering and IHS Transform is proposed. The aim of this image fusion technique is reducing the loss of multi-spectral information in the process of image fusion based on ordinary IHS transform. Furthermore, the new method should keep simple. The results of experimentation have proved that this improvement of ordinary IHS transform is more effective.Key words: IHS; Weighted Average; Mean Filtering; Image Fusion; Remote Sensing

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