摘要
几何形状识别在计算机视觉中具有重要意义,不变矩由于其在图像平移、伸缩、旋转时均保持不变,而且具有全局特性,是几何形状识别的主要方法。但现有的基于不变矩理论的数字水印算法还不多,而且传统的数字水印算法在水印检测时均存在误检和漏检的问题。针对以上提出的问题,文章提出一种基于Radon变换不变矩鲁棒性数字水印技术可以有效地减少水印的漏检和误检问题并经过仿真实验证明,该方法对于旋转,缩放,平移等几何攻击具有很好鲁棒性的同时,对于常规信号处理(加噪,滤波,JPEG压缩等)攻击也具有很好的鲁棒性,且具有极低误检率。
Shape recognition is a very important issue in computer vision and digital image processing.Invariant moment has extensive applications in the field of shape recognition due to its ability to represent global features and characteristics independent of translation,scale,rotation.However,the existing digital watermarking algorithm based on invariant moment is insufficient and traditional digital watermarking algorithm always exists false probability issue while watermarking detection.For above reasons,this paper proposes a digital watermarking image resisting to geometric attacks based on radon invariant moments which can decrease the false probability of watermarked image efficiently and the experiments demonstrate the proposed method is better robust to RST transform,also it is better robust to adding noise,filtering and JPEG compression attacks.So the proposed method is a simple,useful and credible algorithm.
出处
《计算机与数字工程》
2010年第7期133-138,共6页
Computer & Digital Engineering
基金
渭南师范学院研究生专项基金(编号:10YKZ069)资助
关键词
不变矩
鲁棒性
RADON变换
虚警率
invariant moments
robustness
Radon transform
false probability
