基于位平面分解的可逆图像水印算法

基于位平面分解的可逆图像水印算法
张正伟;吴礼发;高尚兵
【期刊名称】《江苏大学学报（自然科学版）》
【年(卷),期】2018(039)001
【摘要】To improve visual quality and embedding rate of existing difference expansion reversible image watermarking algorithm , a reversible image watermarking algorithm was proposed based on bit plane decomposition .The carrier image was decomposed by bit plane , and the low 6 bit planes were combined together to form a new image .The new image was divided into non overlapping blocks .The entropy of each block was calculated , and the image blocks with small entropy were selected to embed into watermark by the generalized difference expansion algorithm . The overflow graph and the relevant auxiliary information were embedded into the selected original image blocks of the corresponding image blocks with large entropy by difference quantization method .The 8 bit gray scale images of Lena and Barbara were used to test the reversible watermarking algorithm .The results show that the algorithm has high embedding rate and high visual quality , and the original image can be fully restored .When Lena is used as host image , the payload reaches 0.93 pared with other algorithms , the watermark embedding rate is improved with good visual quality .%为了提高现有基于差值扩展可逆图像水印算法的视觉质量和嵌入率,提出了一种基于位平面分解的可逆图像水印算法.对载体图像进行位平面分解,选
取其低6 bit位平面组合在一起构成新图像.对构成的新图像进行互不重叠块划分,计算每块熵值,选取其熵值较小的图像块利用广义差值扩展算法嵌入水印.选取熵值较大的图像块所对应的原始图像块利用差值量化法嵌入溢出图等相关辅助信息.采用Lena,Barbara等标准的8 bit灰度图像作为测试图像进行了可逆水印算法的试验.结果表明该算法不仅嵌入率高,而且有较高的视觉质量,能实现原始图像的完全恢复.以Le-na为宿主图像时,其有效载荷可达0.93 bpp.和其他算法相比,在维持较好视觉质量的前提下提高了水印嵌入率.
【总页数】8页(P78-85)
【作者】张正伟;吴礼发;高尚兵
【作者单位】淮阴工学院计算机与软件工程学院, 江苏淮安223003;解放军理工大学指挥信息系统学院, 江苏南京 210007;解放军理工大学指挥信息系统学院, 江苏南京 210007;淮阴工学院计算机与软件工程学院, 江苏淮安223003
【正文语种】中文
【中图分类】TP309
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