Abstract
With the advent of 3D video compression and Internet technology, 3D videos have been deployed worldwide. Data hiding is a part of watermarking technologies and has many capabilities. In this paper, we use 3D video as a cover medium for secret communication using a reversible data hiding (RDH) technology. RDH is advantageous, because the cover image can be completely recovered after extraction of the hidden data. Recently, Chung et al. introduced RDH for depth map using prediction-error expansion (PEE) and rhombus prediction for marking of 3D videos. The performance of Chung et al.’s method is efficient, but they did not find the way for developing pixel resources to maximize data capacity. In this paper, we will improve the performance of embedding capacity using PEE, inter-component prediction, and allowable pixel ranges. Inter-component prediction utilizes a strong correlation between the texture image and the depth map in MVD. Moreover, our proposed scheme provides an ability to control the quality of depth map by a simple formula. Experimental results demonstrate that the proposed method is more efficient than the existing RDH methods in terms of capacity.
Highlights
Data hiding (DH) [1] plays an important role in secret communication
To better demonstrate the performance of our proposed scheme, we graphically show the results of experiments and analysis of 3D images with various features
We introduced a method to hide metadata in 3D videos using reversible DH (RDH) technology, which is one of many watermarking technologies
Summary
Data hiding (DH) [1] plays an important role in secret communication. For this purpose, secret information and metadata are embedded in the cover media, such as still image, video, audio, 3D video, and so on. Based on MVD, Chung et al [26] and Shi et al [27] proposed RDHs for depth maps using a depth no-synthesis-error (D-NOSE) model [28] and PEE. Chung et al first proposed a method based on PEE that could effectively hide data in depth maps of 3D images. We first analyze the disadvantages of Chung et al.’s reversible data hiding algorithm and propose a PEE-based DH technique that completely uses the allowable range of each pixel using an inter-component prediction method. The performances of the proposed RDH are improved by using the correlation between the texture and the depth map, which is an advantage of the inter-component prediction.
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