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A Visual Complexity-sensitive DWT Ordering Scheme for Hiding Data in Images

机译:隐藏图像中的数据的视觉复杂性敏感的DWT排序方案

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摘要

A scheme is proposed to hide data in images based on a prioritized ordering of the content of the host (or cover) image. A watermark embedding process uses the watermark strength to determine the ordering of the 16 regions resulting from the second level Discrete Wavelet Transform (DWT) decomposed content of the host image. To determine the best ordering for hiding the data, various types of image of varying content and, hence, visual complexity were considered, analyzed and ranked in terms of their ability to withstand changes that do not imperil the visual quality (PSNR) of their watermarked versions depending on which an N×N-sized watermark stream is hidden in the 8 highest ranked sub-bands of the host image. From this perspective, an ordering for images classified as simple, normal and complex images was used to determine a generalized ordering of the DWT decomposed sub-bands of the image. The generalized ordering presented here ascertains that the content of the image and its visual complexity had little effect on an earlier proposed prioritized ordering of the DWT Sub-bands. To validate the veracity of the ordering scheme, 1000 images from the Corel 1000A database, their visual complexity and features were taken into account. The results confirmed that high embedding capacity, appreciable visual quality of watermarked images and complete recovery hidden data are realizable based on the ordering scheme proposed in this study.
机译:提出了一种基于主机(或封面)图像内容的优先顺序来隐藏图像中数据的方案。水印嵌入过程使用水印强度来确定由宿主图像的第二级离散小波变换(DWT)分解内容产生的16个区域的顺序。为了确定隐藏数据的最佳顺序,根据内容承受不影响其加水印图像的视觉质量(PSNR)的变化的能力,考虑了各种类型的内容不同的图像,并因此对视觉复杂性进行了分析和排名。取决于在主机图像的8个排名最高的子带中隐藏了N×N大小的水印流的版本。从这个角度来看,分类为简单,正常和复杂图像的图像的排序用于确定图像的DWT分解子带的广义排序。这里提出的广义排序可以确定图像的内容及其视觉复杂性对DWT子带的较早提出的优先排序几乎没有影响。为了验证订购方案的准确性,考虑了Corel 1000A数据库中的1000张图像,其视觉复杂性和功能。结果证实,基于该研究提出的排序方案,可以实现高嵌入能力,水印图像的明显视觉质量和完全恢复的隐藏数据。

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