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.