| Image fusion using non-separable wavelet frame |
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| 作者姓名： | 王宏 敬忠良 李建勋 |
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| 作者单位： | Institute of Aerospace Information and Control，Shanghai Jiaotong University，Shanghai 200030，Institute of Aerospace Information and Control，Shanghai Jiaotong University，Shanghai 200030，Institute of Aerospace Information and Control，Shanghai Jiaotong University，Shanghai 200030 |
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| 基金项目： | This research was supported by the National‘863’Project of China．(No.200lAA135091）， the Shanghai Key Project（No． 02DZ15001） and the Aviation Science Foundation of China (No.02D57003). |
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| 摘 要： | In this paper, an image fusion method is proposed based on the non-separable wavelet frame (NWF) for merging a high-resolution panchromatic image and a low-resolution multispectral image. The low-frequency part of the panchromatic image is directly substituted by multispectral image. As a result, the multispectral information of the multispectral image can be preserved effectively in the fused image. Due to multiscale method for enhancing the high-frequency parts of the panchromatic image, spatial information of the fused image can be improved. Experimental results indicate that the proposed method outperforms the intensity-hue-saturation (IHS) transform, discrete wavelet transform and separable wavelet frame in preserving spectral and spatial information.
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Image fusion using non-separable wavelet frame |
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| Abstract: | In this paper, an image fusion method is proposed based on the non-separable wavelet frame (NWF)for merging a high-resolution panchromatic image and a low-resolution multispectral image. The lowfrequency part of the panchromatic image is directly substituted by multispectral image. As a result, the multispectral information of the multispectral image can be preserved effectively in the fused image. Due to multiscale method for enhancing the high-frequency parts of the panchromatic image, spatial information of the fused image can be improved. Experimental results indicate that the proposed method outperforms the intensity-hue-saturation (IHS) transform, discrete wavelet transform and separable wavelet frame in preserving spectral and spatial information. |
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