基于压缩感知理论的船舶数字图像水印算法

Marine digital image watermarking algorithm based on compression perceptual theory

在船舶数字图像加密传输系统中,需要进行图像水印处理,提高船舶图像的抗攻击能力,针对传统的小波编码方法进行图像水印加密抗噪能力不好的问题,提出一种基于压缩感知理论的船舶图像水印算法。对提取的船舶图像采用Radon尺度变换方法进行边缘轮廓特征提取,对提取的边缘轮廓曲线采用Schwartz变换进行低频系数分解,提取船舶图像的低频压缩感知系数并与图像的高频系数进行模糊匹配,采用压缩感知理论进行图像量化编码,实现图像的水印提取。仿真结果表明,采用该方法进行船舶数字图像水印处理,提高了归一化相关系数和PSNR值,从而提高了图像的抗攻击能力。

In the marine digital image encryption transmission system,the image watermark processing is needed to improve the ability of the ship image secure transmission.The traditional wavelet coding method for image watermarking encryption and anti-noise ability is not good.This paper presents a watermarks algorithm for ship image based on compression perception theory,which uses Radon scale transform method to extract the edge contour feature of the extracted ship image.The extracted edge contour curve is decomposed by Schwartz transform to extract the low frequency compression perceptual coefficient of the ship image and fuzzy matching with the high frequency coefficient of the image.Image quantization coding based on compression perception theory is used to extract image watermark.The simulation results show that the proposed method can improve the normalized correlation coefficient and PSNR value.Thus,the anti-attack ability of the image is improved.