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A color image watermarking framework for copyright protection of stereo images based on binocular just noticeable difference and LU decomposition
Multimedia Tools and Applications ( IF 3.0 ) Pub Date : 2021-01-17 , DOI: 10.1007/s11042-020-10445-z
David-Octavio Muñoz-Ramírez , Beatriz-Paulina García-Salgado , Volodymyr Ponomaryov , Rogelio Reyes-Reyes , Sergiy Sadovnychiy , Clara Cruz-Ramos

The copyright protection of three-dimensional (3D) content is a matter of interest in artistic and creative works due to the rights of the holder for the distribution of the material. However, although stereo images are widely used for the generation of 3D content, there is a little amount of research focused on copyright protection for this type of image. In this study, a novel invisible and blind color image watermarking framework for protecting the copyright of the stereo images based on Binocular Just Noticeable Difference (BJND) and lower-and-upper (LU) decomposition is proposed. In this framework, a color watermark is encoded to reduce the information. Then, the BJND model is calculated in the R channel of a stereo image, and finally, LU decomposition is applied into the G and B channels to embed and extract a color watermark. The BJND model has demonstrated a remarkable sensitivity comparable with the Human Visual System (HVS) in luminance changes such as the ones presented in stereo images, guaranteeing a good protection performance and a high imperceptibility. The proposed framework was compared with other state-of-the-art techniques, and it has demonstrated better performance and high resistance to attacks of JPEG compression or impulsive and Gaussian noise. Additionally, this novel framework does not affect the generation of the disparity map or the 3D content when the watermarked stereo images are used for their creation.



中文翻译:

一种基于双目恰好差异和LU分解的立体图像版权保护彩色图像水印框架

三维(3D)内容的版权保护是艺术和创意作品中的一个重要问题,这归因于持有者分发材料的权利。但是,尽管立体图像被广泛用于3D内容的生成,但是针对这种类型的图像的版权保护的研究很少。提出了一种基于双目正视差(BJND)和上下限(LU)分解的立体图像版权保护的隐形和盲彩色图像水印框架。在此框架中,对彩色水印进行了编码以减少信息。然后,在立体图像的R通道中计算BJND模型,最后将LU分解应用于G和B通道以嵌入和提取彩色水印。BJND模型在亮度变化方面表现出了与人类视觉系统(HVS)相当的灵敏度,例如在立体图像中呈现的变化,从而保证了良好的保护性能和高度的不易察觉性。所提出的框架与其他最新技术进行了比较,并显示出更好的性能和对JPEG压缩或脉冲和高斯噪声的攻击的较高抵抗力。另外,当使用加水印的立体图像创建视差图或3D内容时,该新颖框架不会影响视差图或3D内容的生成。所提出的框架与其他最新技术进行了比较,并显示出更好的性能和对JPEG压缩或脉冲和高斯噪声的攻击的较高抵抗力。另外,当使用加水印的立体图像创建视差图或3D内容时,该新颖框架不会影响视差图或3D内容的生成。所提出的框架与其他最新技术进行了比较,并显示出更好的性能和对JPEG压缩或脉冲和高斯噪声的攻击的较高抵抗力。另外,当使用加水印的立体图像创建视差图或3D内容时,该新颖框架不会影响视差图或3D内容的生成。

更新日期:2021-01-18
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