Histogram-Based Near-Lossless Data Hiding and Its Application to Image Compression
Histogram-Based Near-Lossless Data Hiding and Its Application to Image Compression
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DOI：
10.1007/978-3-319-24078-7_22
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发表时间：
2015-09
期刊：
影响因子：
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通讯作者：
Masaaki Fujiyoshi;H. Kiya
中科院分区：
文献类型：
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作者：
Masaaki Fujiyoshi;H. Kiya
本文提出了一种图像的近无损数据隐藏（DH）方法，该方法可以提高图像压缩效率。该方法首先根据用户给定的最大允许误差对图像进行量化。然后，该方法将数据嵌入到基于直方图移位（HS）的量化图像中。尽管该方法使用了基于hs的DH（需要记忆移位的bin进行数据提取），但在某些情况下，该方法仅通过应用重新量化作为最低有效位平面（LSB）替换的DH就可以从标记图像中提取数据。因此提出的方法是基于HS-和LSB取代的统一DH。在该方法中，对标记图像进行无损压缩比对原始图像进行有损压缩可以获得更好的压缩效率。实验结果表明了该方法的有效性。
This paper proposes a near-lossless data hiding (DH) method for images where the proposed method can improve the image compression efficiency. The proposed method firstly quantizes an image in accordance with a user-given maximum allowed error. This method, then, embeds data to the quantized image based on histogram shifting (HS). Even this method uses HS-based DH which requires to memorize the shifted bins for data extraction, the method, under some conditions, takes data out from the marked image by just applying re-quantization as least significant bitplane (LSB) substitution-based DH. So the proposed method is based on unification of HS- and LSB substitution-based DH. In the method, lossless compression of the marked image can achieve better compression efficiency than lossy compression of the original image. Experimental results show the effectiveness of the proposed method.