提出了一种基于小波变换域的块匹配运动估计搜索的新算法，模拟实验表明，利用此算法可获得比一般运动块匹配方法更大的峰值信噪比，具有更好的性能复杂度比。
The authors present a new algorithm for block-matching motion estimation based on wavelet transform. The simulation shows that this algorithm has better PSNR and performance-to-complexity ratio.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
通过实验验证了该算法的有效性，并以峰值信噪比(PSNR)为评价准则，利用多项式拟合方法选择了最优参数。
Experiments proved the validity of the model. Taking Peak Signal-to-Noise Ratio (PSNR) as criterion the best preference was found by using polynomial fitting.
应用推荐