基于Android平台的实时图像视频水印处理方法  

A Real-Time Image Video Watermark Processing Method Based on Android

作　　者：袁雪霞[1] 王艳杰[1] 李磊[2] YUAN Xuexia;WANG Yanjie;LI Lei(College of Zhengzhou Institute of Finance and Economics, Zhengzhou 450044;Institute of Physical Science and Engineering, Zhengzhou University, Zhengzhou 450001 China)

机构地区：[1]郑州财经学院信息工程学院,河南郑州450044 [2]郑州大学物理工程学院,河南郑州450001

出　　处：《湘潭大学自然科学学报》2017年第4期107-110,共4页Natural Science Journal of Xiangtan University

基　　金：国家自然科学基金项目(21442009)

摘　　要：针对现有研究的算法很难用在智能手机等低计算性能设备上的问题,提出基于Android平台的实时图像视频水印处理方法.该方法基于离散余弦变换(DCT),采用预定义的水印对智能手机相机拍摄的图像及视频进行实时水印添加,将水印嵌入实时捕获的宿主图像中.基于Android平台开发APP应用程序,使用默认的智能手机摄像头捕捉图像,通过OpenCV实现实时视频处理和数字水印嵌入处理,并将图像保存到外部存储中.实验结果表明,所提方法基于不同的质量因子均能保持较稳定的峰值信噪比(PSNR)和平均平方误差(MSE),能够较好地适用于智能手机等低计算性能设备.According to the algorithms proposed in the present study are difficult to be used in low performance devices such as smart phones,image processing method is proposed for real time video watermarking based on Android platform.By adding a watermark image and video watermarking using the method of Discrete Cosine Transform(DCT)based on predefined intelligent mobile phone camera in real time,the watermark is embedded into the real time acquisition host image based on the Android platform.APP application is developed to capture images by using the default intelligent mobile phone camera.Real time video processing and digital watermark embedding process are achieved by the OpenCV,and the image is saved to the external storage.The experimental results show that the proposed method can maintain a relatively stable Peak Signal to Noise Ratio(PSNR)and Mean Squared Error(MSE)based on different quality factors,and it can be applied to low computing performance devices such as smart phones.

关 键 词：数字水印 Android 离散余弦变换 峰值信噪比 平均平方误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]