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A novel slant transform-based image feature extract algorithm

机译:一种新型的基于倾斜变换的图像特征提取算法

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摘要

In order to improve the efficiency and simplify the steps of generating an image hashing, a secure and robust image hashing algorithm based on slant transform is proposed in this paper. By employing the coefficients of slant transform, a robust hashing sequence is obtained by preprocessing, feature extracting and post processing. The security of the proposed algorithm is totally dependent on the user-keys, which are saved as secret keys. Several benchmark images are utilised to show the feasibility of the image hashing algorithm. Experimental results show that the proposed scheme is robust against perceptually acceptable modifications to the image such as JPEG compression, mid-filtering, and rotation. Therefore, the scheme proposed in this paper is suitable for image authentication, content-based image retrieval and digital watermarking, etc.
机译:为了提高效率并简化产生图像散列的步骤,本文提出了一种基于倾斜变换的安全且鲁棒的图像散列算法。 通过采用倾斜变换的系数,通过预处理,特征提取和后处理获得鲁棒散列序列。 所提出的算法的安全性完全依赖于用户键,其被保存为秘密密钥。 利用几个基准图像来示出图像散列算法的可行性。 实验结果表明,该方案对诸如JPEG压缩,中频滤波和旋转等图像的感知可接受的修改是强大的。 因此,本文提出的方案适用于图像认证,基于内容的图像检索和数字水印等。

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