基于小波变换的最佳融合算法

Optimal image fusion algorithm based on wavelet transforms

本文研究了小波域融合模型,为实现图像的最大融合,用最小二乘原理得到了与图像有关的置乱变换,提高了算法的融合度.将融合因子与置乱操作所用矩阵及迭代次数作为密钥,增加算法的安全性.实验证明该算法使图像的融合因子得到较大提高,增强了隐藏图像的抗攻击能力,可广泛应用于电子图像产品和数字图书馆的版权保护.

The fusion model in wavelet domain is proposed. To maximize fusion, we derive the image related scrambling transform based on least square error principle. The algorithm improves the extent of fusion. The fusion factor, the scrambling matrix and iteration number are used as secret keys with the intension of improv- ing the algorithm＇s security. Simulation experiments have proved that the proposed algorithm improves the fusion factor significantly, and enhances the hidden image＇s capability of resisting attacks. The algorithm can be widely used for copyright protection of electronic image products and digital libraries.