一种新的可变块大小图像压缩算法用于隐藏秘密数据

F. Keissarian
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引用次数: 3

摘要

提出了一种将数字图像压缩域中的数据隐藏起来的数据隐藏方案。四叉树分解算法通过对块残差的直方图分析,将主图像分解为大小不等的块。然后根据他们的视觉活动水平以不同的速率编码可变块大小。大部分秘密数据被嵌入到图像的光滑区域,而一小部分秘密数据隐藏在高细节块的压缩代码中。实验结果表明,该方法可以在保证图像质量的前提下,在压缩文件中嵌入大量的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a Novel Variable Block Size Image Compression Algorithm for Hiding Secret Data
This paper presents a data hiding scheme that hides the data in the compression domain of a digital image. A quadtree decomposition algorithm decomposes the host image into blocks of variable sizes according to histogram analysis of the block residuals. Variable block sizes are then encoded at different rates based on their visual activity levels. The majority of secrete data are embedded into the smooth area of the image, while a small portion of the secret data are hidden in the compression codes of the high detailed blocks. Experimental results confirm that the proposed scheme can embed a large amount of data in the compressed file while maintaining satisfactory image quality.
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