On the Positioning of Moderately Significant Bit Data Hiding in High-Definition Images

D. Tran, H. Zepernick, T. Chu
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引用次数: 1

Abstract

Mobile services have seen a shift from voice services toward visual stimuli-based services ranging from mobile imaging over mobile gaming to upcoming mobile extended reality applications. In this paper, given the increased resolutions of the related mobile multimedia formats, we propose and examine positioning strategies for light-weight data hiding of secret images in moderately significant bits of high-definition (HD) cover images. Apart from linear and random positioning, visual attention mechanisms of the human visual system are addressed by separately utilizing either the background or center of the HD cover image for data hiding. A performance assessment of these positioning strategies is conducted in terms of the peak-signal-to-noise ratio (PSNR), structural similarity (SSIM) index, and visual information fidelity (VIF). It is shown that HD cover images indeed can carry more than a single secret image until noticeable quality loss is observed. Further, it is revealed that linear positioning of secret images in the whole, background, or center of HD cover images outperforms random positioning. As for the utilized performance metrics, it has been observed that PSNR cannot differentiate among the positioning strategies as it measures pixel-by-pixel differences and hence removes the impact of the position of the hidden data. As for the two quality metrics, compared to the SSIM index, VIF is found to stronger differentiate among the performance of the considered positioning strategies.
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高清晰度图像中中等有效位数据隐藏的定位研究
移动服务已经从语音服务转向基于视觉刺激的服务,从移动成像到移动游戏,再到即将到来的移动扩展现实应用。在本文中,考虑到相关移动多媒体格式分辨率的提高,我们提出并研究了在高清(HD)封面图像中适度显著位隐藏秘密图像的轻量级数据的定位策略。除了线性和随机定位外,还通过分别利用高清封面图像的背景或中心进行数据隐藏来解决人类视觉系统的视觉注意机制。根据峰值信噪比(PSNR)、结构相似性(SSIM)指数和视觉信息保真度(VIF)对这些定位策略进行了性能评估。结果表明,在观察到明显的质量损失之前,高清封面图像确实可以携带多个秘密图像。此外,研究表明,在高清封面图像的整体、背景或中心位置对秘密图像进行线性定位优于随机定位。对于所使用的性能指标,已经观察到PSNR无法区分定位策略,因为它测量逐像素的差异,因此消除了隐藏数据位置的影响。对于两个质量指标,与SSIM指数相比,我们发现VIF在考虑的定位策略的绩效之间具有更强的差异性。
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