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《Computer Engineering》 2014-04
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Gradient Field Image Progressive Fusion Algorithm Combined with Wavelet Transformation

HE Wen-jian;LI Yan;School of Computer, South China Normal University;Spatial Information Technology and Application Research Center, South China Normal University;  
Image fusion algorithm based on gradient field is one of relatively new remote sensing image fusion algorithms. But the fusion algorithm is only suitable for using in less than 1:4 scale ratio of multi spectral image and panchromatic image. In order to solve the fusion problem, which is caused by the scale differences between Beijing 1 satellite multi spectral image and panchromatic image as 1:8, this paper presents an image progressive fusion algorithm based on wavelet transformation and gradient field. It uses wavelet transformation to narrow the scale difference of multi spectral images and high resolution panchromatic images, and gets the preliminary fusion image by wavelet transform fusion algorithm, and makes preliminary fusion image and high resolution image fusion based on gradient field. Experimental results show that the average color difference between the progressive fusion image and the multi spectral image is 23.5. The average gradient difference and the multi scale texture value differences between the progressive fusion image and the high resolution panchromatic image are 2.1, 3.98, 10.2, 18.9, that is better than the other mainstream fusion algorithm, which indicates that the matched degree of the texture details between the progressive fusion image and the high resolution panchromatic image is much better.
【Fund】: 国家自然科学基金资助项目(41171288)
【CateGory Index】: TP391.41
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