摘要
针对粗糙集理论应用于数字图像水印技术的可行性,结合人类视觉特性,提出一种基于粗糙集理论的水印嵌入位置选择方法。该方法把载体图像看成是一个知识系统,按照人类视觉特性的要求将图像系数划分为多个不同的等价类,通过属性的组合筛选出适合于水印嵌入的系数位置。最后选取灰度图像Lena和Baboon作为测试图像,证明了该方法的有效性和可扩展性。
Aiming at the feasibility of the application of rough sets theory in digital image watermarking technology, a method to choose embedding position for watermark information was put forward based on the theory of rough sets and human visual charaeteristies, The new method regarded the earlier image as a knowledge system, divided the coefficients of image into some different equivalence classes according to the request of human visual characteristic, then selected suitable coefficient positions for watermark embedding through the combination of attributes. The test results of grey level picture Lena （512 × 512） and Baboon （200 × 200） prove the validity and expansibility of this method.
出处
《计算机应用》
CSCD
北大核心
2006年第2期329-331,共3页
journal of Computer Applications
基金
甘肃省自然科学基金资助项目(ZS021-A25-018-G)
关键词
粗糙集
数字水印
知识系统
视觉特性
rough sets
digital watermarking
knowledge system
visual characteristics
