一种利用图像平滑区域和边缘区域的自适应灰度图像水印方案

Dr. Nagaraj V. Dharwadkar, B. B. Amberker
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引用次数: 1

摘要

本文提出了一种灰度图像的自适应水印方案。该方案利用连续像素对和非重叠像素对之间的差异来嵌入水印位。采用最低有效位(LSB)替换法将水印嵌入到像素对中。利用像素对之间的差值来确定图像的平滑区域和边缘区域。在平滑区域嵌入的水印比特数较少,而在边缘区域嵌入的水印比特数较多。利用嵌入容量将封面图像的像素划分为不同的类型,该嵌入容量由像素对之间的差异决定。对于任意一对连续的像素,使用LSB替换方法在两个像素上嵌入可变位的水印。在这里,要嵌入的比特数是根据差值所属的类别来决定的。嵌入后,通过重新调整保留嵌入像素对之间的差值,从而保持了图像的质量,提高了嵌入容量。实验结果表明,该方法具有较高的嵌入容量和较小的嵌入图像失真。
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An adaptive gray-scale image watermarking scheme using smooth and edge areas of an image
In this paper, we propose an adaptive watermarking scheme for gray-scale images. The proposed scheme use the difference between the consecutive and non-overlapping pair of pixels to embed the watermark bits. The watermark is embedded into the pair of pixels using least-significant bit(LSB) substitution method. The difference between pair of pixels is used to determine the smooth and edge regions of the image. In smooth region less number of watermark bits are embedded and in edge region more number of watermark bits are embedded. The pixels of the cover image are categorized into different types using the embedding capacity which is determined by the difference between the pair of pixels. For any pair of consecutive pixels, both pixels are embedded with variable bits of watermark using LSB substitution method. Here, the number of bits to be embedded is decided based on the category to which the difference value belongs. After embedding, the difference value between embedded pair of pixels is retained by readjustment so that the quality of the image is maintained and embedding capacity is improved. The experimental results show that the proposed scheme has high embedding capacity and less distortion in embedded images.
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