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首页> 外文期刊>International Journal of Innovative Computing Information and Control >MULTIPURPOSE IMAGE HASHING BASED ON MULTISTAGE VECTOR QUANTIZATION
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MULTIPURPOSE IMAGE HASHING BASED ON MULTISTAGE VECTOR QUANTIZATION

机译：基于多级矢量量化的多用途图像哈希

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摘要

Perceptual image hashing has become an emerging solution for image indexing, authentication and watermarking. A perceptual image hash function maps a digital image into a fixed length binary string known as the hash value, which is invariant under changes to the image that is perceptually insignificant. In this paper, a multipurpose image hashing scheme based on Multi-Stage Vector Quantization (MSVQ) is proposed for both copyright protection and content authentication. The original gray-level image is first segmented into non-overlapping blocks. Each block is encoded by a two-stage vector quantizer to generate two indices, one for copyright protection and the other for content authentication. The obtained two index tables are then transformed into two binary images based on specific mapping functions. Finally, the authentication mark and permuted copyright logo are respectively XOR-ed with the two binary images to obtain final authentication and protection fingerprints. Compared with the existing DCTVQ based multipurpose hashing scheme, we provide two new mapping functions and our hashing process is much faster. Experimental results show the effectiveness of the proposed method.
机译：感知图像哈希已经成为图像索引，身份验证和水印的新兴解决方案。感知图像哈希函数将数字图像映射到固定长度的二进制字符串（称为哈希值），该哈希字符串在感知上无关紧要的图像变化下不变。本文提出了一种基于多阶段向量量化（MSVQ）的多功能图像哈希方案，用于版权保护和内容认证。首先将原始灰度图像分割为不重叠的块。每个块由两级矢量量化器编码，以生成两个索引，一个索引用于版权保护，另一个索引用于内容认证。然后，根据特定的映射函数将获得的两个索引表转换为两个二进制图像。最后，将认证标记和排列的版权徽标分别与两个二进制图像进行异或运算，以获得最终的认证和保护指纹。与现有的基于DCTVQ的多用途哈希方案相比，我们提供了两个新的映射功能，并且哈希过程要快得多。实验结果表明了该方法的有效性。

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