针对现有可见光隐式成像通信调制算法隐式效果差、算法复杂的问题,提出了一种基于蓝色通道拉普拉斯最高层金字塔的隐式信息调制算法。该算法利用人眼视觉系统对黄蓝分量不敏感的特性,仅对蓝色通道图像进行拉普拉斯金字塔分解,并在最高层嵌入隐式信息。此外,考虑到图像纹理差异对隐式效果的影响,采用图像熵作为衡量图像间纹理复杂程度的指标,设计了一种基于纹理复杂度的图像分类器,并对不同分类图像的隐式效果进行了分析。仿真结果显示,所提调制算法的峰值信噪比平均可达到40.46 dB,相较于一般拉普拉斯金字塔调制算法,性能提升了5 dB,可有效增强系统的隐式效果。

An implicit information modulation algorithm based on the highest layer of the Laplacian pyramid of the blue channel is proposed to solve the problems of poor implicit effect and complex algorithm occurring in the existing visible light implicit imaging communication modulation algorithm. The proposed algorithm takes the advantage of the insensitivity of the human visual system to the yellow and blue components, performs the Laplace pyramid decomposition only on the blue channel image, and embeds the implicit information at the highest level. In addition, considering the effect of the texture difference among images on the implicit effect, the image entropy is used as an indicator to measure the texture complexity of images. An image classifier is designed based on the texture complexity and the implicit effect is also analyzed. The simulation results show that the proposed modulation algorithm can achieve an average peak signal-to-noise ratio value of 40.46 dB. Compared with that of the general Laplace pyramid modulation algorithm, the performance is improved by 5 dB, and the implicit effect of the system is effectively improved.