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Joint index coding and reversible data hiding methods for color image quantization

机译:彩色图像量化的联合索引编码和可逆数据隐藏方法

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摘要

In this paper, we proposed two reversible data hiding methods for color image quantization based on lossless index coding. In index coding process, the indices are classified into three types: Type-1, Type-2, and Type-3 according to the relationship between the current index and its neighbors in lossless index coding. In the first method, Type-1 indices are taken to hide secret bits. To increase the hiding capacities, not only Type-1 indices but also Type-2 indices are used to embed secret bits in the second method. The experimental results show that the proposed methods achieve high hiding capacities while keeping acceptable compression bit rates. The required bit rates of the proposed methods are less than those of the uncompressed indices. The index table of each color quantized image can be recovered without any distortion after the hidden data has been extracted. Experimental results reveal that the first method is suitable for the applications that the required embedding ratio is less than or equal to 0.5 bit/index. For applications requiring a higher embedding ratio, the second method can be used to embed the secret data. The embedding ratio of the second method can be up to 0.98 bit/index.
机译:本文提出了两种基于无损索引编码的彩色图像量化可逆数据隐藏方法。在索引编码过程中,根据无损索引编码中当前索引与其邻居之间的关系,将索引分为三种类型:Type-1,Type-2和Type-3。在第一种方法中,采用Type-1索引来隐藏秘密位。为了增加隐藏能力,在第二种方法中,不仅使用Type-1索引,而且使用Type-2索引来嵌入秘密位。实验结果表明,该方法在保持可接受的压缩比特率的同时,具有较高的隐藏能力。所提出的方法所需的比特率小于未压缩索引的比特率。在提取隐藏数据之后,可以恢复每个色彩量化图像的索引表而没有任何失真。实验结果表明,第一种方法适用于要求的嵌入率小于或等于0.5位/索引的应用。对于需要更高嵌入比率的应用程序,可以使用第二种方法来嵌入秘密数据。第二种方法的嵌入率可以高达0.98位/索引。

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