基于DCT和哈希函数的彩色卫星图像鲁棒脆弱水印方案

Sultan Al-Shehhi, Mohammed Al-Muhairi, Dalia Abuoeida, Hussain Al-Ahmed, N. Werghi, A. Kunhu
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引用次数: 3

摘要

提出了一种将鲁棒水印和脆弱认证数据嵌入彩色卫星图像的水印算法。该水印算法的目的是保护版权和图像的原创性。该算法在提取过程中不需要原始图像,是一种盲算法。该算法包含两个水印,一个用于版权,另一个用于图像真实性。第一个水印采用离散余弦变换嵌入频域,第二个水印采用MD5和Hex格式嵌入由哈希函数组成的空间域。脆弱水印被插入到每一个RGB通道的一行中。利用峰值信噪比(PSNR)和相似结构指标(SSIM)来评估嵌入引起的失真。对不同类型攻击的稳健性已经通过使用Stirmark和对卫星图像进行小修改来评估。鲁棒水印方案经受住了JPEG压缩和过滤等多种攻击。脆弱的水印非常敏感,对图像的任何微小修改都能被检测到。研究发现,与红色和蓝色通道相比,嵌入绿色通道具有更好的性能。此外,Y通道中的嵌入提供了更好的抗攻击鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust and Fragile Watermarking Scheme Based on DCT and Hash Function for Color Satellite Images
This paper presents a watermarking algorithm to embed robust watermark and fragile authentication data into color satellite images. The aim of this watermarking algorithm is to protect the copyright and image originality. This algorithm doesn't require the original image in the extraction process and it is a blind algorithm. The algorithm contains two watermarks, one for the copyright and another one for the image authenticity. The first watermark is embedded in the frequency domain using the discrete cosine transform while the second watermark is embedded in the spatial domain which consists of hash functions using MD5 and Hex formats. The fragile watermark is inserted in one row of each one of the RGB channels. The distortion caused by the embedding is assessed using peak signal to noise ratio (PSNR) and similarity structure index measure (SSIM). Robustness against different types of attacks have been assessed using Stirmark and by introducing small modifications to the satellite images. The robust watermarking scheme survived many attacks such as JPEG compression and filtering. The fragile watermark is very sensitive and any small modification to the image can be detected. It was found that embedding in the green channel offers better performance compared to red and blue channels. In addition the embedding in the Y channel offers better robustness against attacks.
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