...
首页> 外文期刊>Journal of applied mathematics >A Steganographic Method Based on Pixel-Value Differencingand the Perfect Square Number
【24h】

A Steganographic Method Based on Pixel-Value Differencingand the Perfect Square Number

机译:基于像素值差和完美平方数的隐写方法

获取原文
获取原文并翻译 | 示例

摘要

The pixel-value differencing (PVD) scheme uses the difference value between two consecutive pixels in a block to determine how many secret bits should be embedded. There are two types of the quantization range table in Wu and Tasi's method. The first was based on selecting the range widths of [8, 8, 16, 32, 64, 128], to provide large capacity.The second was based on selecting the range widths of [2, 2, 4, 4, 4, 8, 8, 16, 16, 32, 32, 64, 64], to provide high imperceptibility. Most of the related studies focus on increasing the capacity using LSB and the readjustment process, so their approach is too conformable to the LSB approach. There are very few studies focusing on the range table design. Besides, it is intuitive to design it by using the width of the power of two. This work designs a new quantization range table based on the perfect square number to decide the payload by the difference value between the consecutive pixels. Our research provides a new viewpoint that if we choose the proper width for each range and use the proposed method, we can obtain better image quantity and higher capacity. In addition, we offer a theoretical analysis to show our method is well defined. The experiment results also show the proposed scheme has better image quantity and higher capacity.
机译:像素值差异(PVD)方案使用一个块中两个连续像素之间的差异值来确定应嵌入多少个秘密位。 Wu和Tasi方法有两种类型的量化范围表。第一个基于选择[8,8,16,32,64,128]的范围宽度以提供大容量。第二个基于选择[2,2,4,4,4,4的范围宽度。 8,8,16,16,32,32,64,64],以提供高的不可感知性。大多数相关研究都集中于使用LSB和重新调整过程来提高容量,因此它们的方法与LSB方法过于一致。很少有研究关注范围表设计。此外,使用两个幂的宽度进行设计很直观。这项工作基于理想平方数设计了一个新的量化范围表,以通过连续像素之间的差值来确定有效负载。我们的研究提供了一个新的观点,即如果我们为每个范围选择合适的宽度并使用所提出的方法,我们可以获得更好的图像数量和更高的容量。此外,我们提供了理论分析,以证明我们的方法定义明确。实验结果还表明,该方案具有更好的图像量和更高的容量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号