中文摘要：

In the fusion of image,how to measure the local character and clarity is called activity measurement. According to the problem,the traditional measurement is decided only by the high-frequency detail coefficients, which will make the energy expression insufficient to reflect the local clarity. Therefore,in this paper,a novel construction method for activity measurement is proposed. Firstly,it uses the wavelet decomposition for the fusion resource image, and then utilizes the high and low frequency wavelet coefficients synthetically. Meantime,it takes the normalized variance as the weight of high-frequency energy. Secondly,it calculates the measurement by the weighted energy,which can be used to measure the local character. Finally,the fusion coefficients can be got. In order to illustrate the superiority of this new method,three kinds of assessing indicators are provided. The experiment results show that,comparing with the traditional methods,this new method weakens the fuzzy and promotes the indicator value. Therefore,it has much more advantages for practical application.

英文摘要：

In the fusion of image, how to measure the local character and clarity is called activity measurement. According to the problem, the traditional measurement is decided only by the high-frequency detail coefficients, which will make the energy expression insufficient to reflect the local clarity. Therefore, in this paper, a novel construction method for activity measurement is proposed. Firstly, it uses the wavelet decomposition for the fusion resource image, and then utilizes the high and low frequency wavelet coefficients synthetically. Meantime, it takes the normalized variance as the weight of high-frequency energy. Secondly, it calculates the measurement by the weighted energy, which can be used to measure the local character. Finally, the fusion coefficients can be got. In order to illustrate the superiority of this new method, three kinds of assessing indicators are provided. The experiment results show that, comparing with the traditional methods, this new method weakens the fuzzy and promotes the indicator value. Therefore, it has much more advantages for practical application.