Compressive sensing based image watermarking using gradient descent algorithm

Ana Cadjenovic, Jelena Bakic
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Abstract

The procedure for image watermarking using only available image samples, is presented in the paper. Namely, watermark is embedded into a certain number of available image samples, where the samples positions are precisely determined in advance. Therefore, samples positions serve as a watermarking key. Block based Compessive Sensing reconstruction is performed in the paper, by using gradient algorithm. Procedure is tested on several natural images. Satisfactory watermark detection, as well as good reconstructed image quality, is obtained.
基于梯度下降算法的压缩感知图像水印
本文介绍了仅使用可用图像样本进行图像水印的方法。即将水印嵌入到一定数量的可用图像样本中,这些样本的位置是预先精确确定的。因此,采样位置作为水印密钥。本文采用梯度算法实现了基于分块的压缩感知重构。程序在几个自然图像上进行了测试。得到了满意的水印检测结果和较好的重构图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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