Content-independent watermarks and block-wise independency can be considered as vulnerabilities in semi-fragile watermarking methods. In this paper to achieve the objectives of semi-fragile watermarking techniques, a method is proposed to not have the mentioned shortcomings. In the proposed method, the watermark is generated by relying on image content and a key. Furthermore, the embedding scheme causes the watermarked blocks to become dependent on each other, using a key. In the embedding phase, the image is partitioned into non-overlapping blocks. In order to detect and separate the different types of attacks more precisely, the proposed method embeds three copies of each watermark bit into LWT coefficients of each 4x4 block. In the authentication phase, by voting between the extracted bits the error maps are created; these maps indicate image authenticity and reveal the modified regions. Also, in order to automate the authentication, the images are classified into four categories using seven features. Classification accuracy in the experiments is 97.97 percent. It is noted that our experiments demonstrate that the proposed method is robust against JPEG compression and is competitive with a state-of-the-art semi-fragile watermarking method, in terms of robustness and semi-fragility.

翻译：在半脆弱水标记方法中,为了实现半脆弱水标记技术的目标,本文件建议采用一种方法来消除上述缺点。在拟议方法中,水标记是依靠图像内容和钥匙产生的。此外,嵌入办法使水标记区块彼此依赖,使用钥匙。在嵌入阶段,图像被分割成非重叠区块。为了更准确地发现和区分不同类型的攻击,拟议的方法将每个水标记点点的3份嵌入每个4x4区块的LWT系数。在认证阶段,通过在抽取的区块之间投票得出错误图;这些地图显示图像的真实性,并显示修改后的区域。此外,为了使认证自动化,图像分类为四类,使用7个特征。实验的分类准确度为97.97%。注意到,我们的实验表明,拟议的方法对JPEG压缩和每个4x4区块的LWT系数是3份。 在认证阶段,通过在抽取的区块之间进行投票,这些地图显示图像的真实性并揭示了修改后的区域。此外,为了使认证自动化,图像分类分为7个特征,实验的精确度为97.97%。注意到,我们的实验表明,拟议的方法对JPEGER-F-Fram-S-S-S-I-S-S-S-M-S-M-S-S-M-S-S-S-S-S-M-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-SM-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-