A novel approach to image steganography using quadtree partition

J. Kumar
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Abstract

A number of approaches have been developed for image steganography till date but none have used quadtree partition scheme. The quadtree partition is used to divide the image on the basis of variations among the pixel values and therefore we can identify the fine grained and coarse grained areas inside the image. It is very much comfortable and effective to hide something in the roadside scrub rather than hiding it on the middle of the road. In the same manner we can identify the dense areas within the image where the pixel values are frequently and randomly changing. This can be achieved by quadtree partition with different thresholds. These areas are therefore the best areas to hide any secret message without get noticed by a human eye. The paper implements the concept and compares it with other approaches.
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一种基于四叉树分割的图像隐写新方法
迄今为止,已经开发了许多用于图像隐写的方法,但都没有使用四叉树分割方案。四叉树分割是根据像素值的变化对图像进行分割,从而可以识别图像内部的细粒区和粗粒区。把东西藏在路边的灌木丛里比藏在路中间要舒适和有效得多。以同样的方式,我们可以识别图像中像素值频繁随机变化的密集区域。这可以通过使用不同阈值的四叉树分区来实现。因此,这些区域是隐藏任何秘密信息而不被人眼注意的最佳区域。本文实现了这一概念,并与其他方法进行了比较。
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