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A Blind Quantization Watermarking Scheme for Screen Content Image

机译:屏幕内容图像的盲量化水印方案

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With the development of the big data age, information security is becoming more and more important. Screen content image are composed of text, graphics and natural image. They present strong anisotropic features, especially on the text and graphics parts. It is well known that Spread Transform Dither Modulation(STDM) is more robust to re-quantization, such as JPEG compression, than regular Quantization Index Modulation(QIM). In this paper, we propose a novel watermarking scheme for screen content grayscale image in DCT domain. On the basis of STDM, combined with the characteristics of human visual system, we use the texture complexity effect factor on DCT domain to adjust the watermarking process. To evaluate the performance of our proposed scheme, we use the reference image from the SIQAD image database. The 20 reference SCIs were thoughtfully identified from the Internet, and they cover a wide variety of image contents, including texts, graphics, symbols, patterns, and natural images. Experiments show that our method has a good performance in term of robustness and better visual quality.
机译:随着大数据时代的发展,信息安全变得越来越重要。屏幕内容图像由文本,图形和自然图像组成。它们具有很强的各向异性,特别是在文本和图形部分上。众所周知,与常规的量化索引调制(QIM)相比,扩展变换抖动调制(STDM)对重新量化(例如JPEG压缩)的鲁棒性更高。在本文中,我们为DCT域中的屏幕内容灰度图像提出了一种新的水印方案。在STDM的基础上,结合人类视觉系统的特点,利用DCT域上的纹理复杂度影响因子来调整水印处理过程。为了评估我们提出的方案的性能,我们使用来自SIQAD图像数据库的参考图像。可以从Internet上仔细地识别出20种参考SCI,它们涵盖了多种图像内容,包括文本,图形,符号,图案和自然图像。实验表明,我们的方法在鲁棒性和更好的视觉质量方面具有良好的性能。

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