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Multi-level Significant Bit (MLSB) Embedding Based on Weighted Container Model and Weighted F5 Concept

机译:基于加权容器模型和加权F5概念的多级有效位(MLSB)嵌入

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In this paper the weighted container concept of cover image jointly with error correcting codes perfect in weighted Hamming metric (ECCPWH) is consider. Such approach can improve the efficient of the ECC embedding schemes based on syndrome coding. To show the effectiveness of ECCPWH based scheme the example of multi-level significant bit (MLSB)embedding scheme applied to digital image is provided. ECCPWH based method is compared with the linear error-block codes (LEBC) steganography method that is based on linear error-block codes perfect in π- metric. The examples show that proposed MLSB embedding scheme that is based on ECCPWH approach is efficient for syndrome coding embedding algorithms.
机译:在本文中,考虑,封面图像的加权集装箱概念与纠错码中的纠错码(ECCPWH)中完美。这种方法可以基于综合征编码改善ECC嵌入方案的有效性。为了示出基于ECCPWH的方案的有效性,提供了应用于数字图像的多级有效位(MLSB)嵌入方案的示例。基于ECCPWH基于的方法与基于线性误差块代码的线性误差块代码(LEBC)隐形方法进行了比较。实施例表明,提出了基于ECCPWH方法的MLSB嵌入方案是综合征编码嵌入算法的有效。

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