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给出了一种新的基于对比度塔形分解的分层图像融合方法。其基本思想是先对源图像进行对比度塔形分解 ;其次 ,按照融合规则 ,采用基于区域特性量测的加权算子去构造融合图像对应的对比度金字塔 ;最后 ,通过逆塔形变换重构融合图像。该方法被成功地用于图像的融合处理。此外 ,利用熵、交叉熵、互信息、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了评价与分析。实验结果表明 ,该融合方法是十分有效的。
A new layered image fusion method based on contrast pyramid decomposition is presented. The basic idea of this method is to decompose the source image into a pyramid of contrast firstly. Secondly, according to the fusion rule, the weighted pyramid based on the measurement of regional characteristics is used to construct the contrast pyramid corresponding to the fused image. Finally, the reconstructed fusion image . This method has been successfully used for image fusion. In addition, the entropy, cross entropy, mutual information, root mean square error, peak signal to noise ratio and other parameters were used to evaluate the fusion performance of the fusion method. Experimental results show that the fusion method is very effective.