A Novel DIBR 3D Image Watermarking Algorithm Resist to Geometrical Attacks

• Published in: Chinese Journal of Electronics Vol. 26; no. 6; pp. 1184 - 1193
• Main Authors: Wang, Shen, Cui, Chen, Niu, Xiamu
• Format: Journal Article
• Language: English
• Published: Published by the IET on behalf of the CIE 01.11.2017
• Subjects: 3D image watermarking histogram; baseline distance; depth image blurred; depth‐image‐based rendering; Depth‐image‐based rendering (DIBR); DIBR 3D image watermarking algorithm; feature extraction; Gaussian filtering; geometrical attacks; histogram shape based method; image watermarking; rendering (computer graphics); watermarking extraction; Gaussian filtering; image watermarking; baseline distance; watermarking extraction; DIBR 3D image watermarking algorithm; feature extraction; histogram shape based method; depth image blurred; depth-image-based rendering; 3D image watermarking histogram; geometrical attacks; rendering (computer graphics); Depth-image-based rendering (DIBR)
• ISSN: 1022-4653; 2075-5597
• DOI: 10.1049/cje.2017.09.025

A histogram shape based method is utilized to design watermarking algorithm to protect the Depthimage-based rendering（DIBR） 3D images. To make the watermarking method robust to common attacks, much more suitable pixel groups are selected for watermark embedding which are insensitive to geometric attacks. Taking into account the adjusting of baseline distance in DIBR process might affect the watermarking extraction, a postprocessing is proposed after DIBR process to make the proposed watermarking method much more robust to DIBR process. As the experimental results shown, the proposed method is much more robust to the geometric attacks and combined attacks compared with existing methods. In addition, the proposed watermarking method also has good robustness to the adjusting of baseline distance and depth image blurred.