基于多小波及遗传算法的数字水印技术研究
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摘要
本论文主要做了以下几个方面的工作:
1.将模拟退火算法和级联遗传算法相结合,提出了一种改进的混合级联遗传算法。可克服模拟退火算法收敛速度慢、级联遗传算法局部搜索能力差的缺点。
2.提出了一种基于遗传算法的OBSA 多小波预滤波器构造方法。根据图像分解和重构的不同目的选择适应度函数,在适当的约束条件下,实现图像多小波变换的自适应预滤波。
3.提出了一种基于遗传算法和OBSA 多小波的公开数字水印技术。根据不同的数字水印嵌入算法选择适应度函数,在适当的约束条件下, 对不同的图像,通过遗传算法方法,自适应地得到OBSA 多小波变换的前置滤波器,依据“奇偶法”、“替代法”嵌入数字水印。
4.提出对于“替代法”嵌入水印,选择的多小波基应有较好的能量聚集作用,为保证嵌入的水印具有不可感知性,被替代部分的能量越低越好。低频重构滤波器长度越长,频率扩散作用越好。
The paper has mainly done these aspects works as follow :
An improved hybrid cascaded genetic arithmetic is proposed. The shortcoming of slow convergence for SAGA and less capability of partial search of CGA is overcome. OBSA multiwavelet pre-filter based on genetic algorithms is proposed. In this method, the fitness functions were selected for the different purposes of image analysis and synthesis, which were used to construct the pre_filters of images for OBSA multiwavelet transform(MWT) in proper constrained condition. Two approachs to blind digital watermarking based on the DMWT and genetic algorithms are presented. One is “Even and odd algorithms”, and the other is “Replacement algorithms”. How to selected multiwavwlet for “replacement algorithm”embedding watermarking is discussed..
1.将模拟退火算法和级联遗传算法相结合,提出了一种改进的混合级联遗传算法。可克服模拟退火算法收敛速度慢、级联遗传算法局部搜索能力差的缺点。
2.提出了一种基于遗传算法的OBSA 多小波预滤波器构造方法。根据图像分解和重构的不同目的选择适应度函数,在适当的约束条件下,实现图像多小波变换的自适应预滤波。
3.提出了一种基于遗传算法和OBSA 多小波的公开数字水印技术。根据不同的数字水印嵌入算法选择适应度函数,在适当的约束条件下, 对不同的图像,通过遗传算法方法,自适应地得到OBSA 多小波变换的前置滤波器,依据“奇偶法”、“替代法”嵌入数字水印。
4.提出对于“替代法”嵌入水印,选择的多小波基应有较好的能量聚集作用,为保证嵌入的水印具有不可感知性,被替代部分的能量越低越好。低频重构滤波器长度越长,频率扩散作用越好。
The paper has mainly done these aspects works as follow :
An improved hybrid cascaded genetic arithmetic is proposed. The shortcoming of slow convergence for SAGA and less capability of partial search of CGA is overcome. OBSA multiwavelet pre-filter based on genetic algorithms is proposed. In this method, the fitness functions were selected for the different purposes of image analysis and synthesis, which were used to construct the pre_filters of images for OBSA multiwavelet transform(MWT) in proper constrained condition. Two approachs to blind digital watermarking based on the DMWT and genetic algorithms are presented. One is “Even and odd algorithms”, and the other is “Replacement algorithms”. How to selected multiwavwlet for “replacement algorithm”embedding watermarking is discussed..
引文
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