Currently, valuable tickets are scanned and verified by embedding quick response (QR) codes, but few studies have embedded encrypted information into QR codes to prevent counterfeiting. In the existing literature on color image-based QR codes, there is room for improvement in image quality and anti-counterfeiting functions. We propose an optically decrypted microstructure overlapping image technology, hiding the information points of two-dimensional barcodes on the image reservation area in the ticket, and using the optical principle to use the lenticular lens as a decryption component, to make the image produce continuous dynamic effects and increase the difficulty of forgery. In addition, the distribution of embedded parameters and differences will also affect the distortion of hidden information, which may cause the QR code to fail to read, so the median edge detection predictor is proposed for distortion control comparison. The experimental results prove that our method provides low distortion of information-hiding technology.

中文翻译：

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具有光学解密的微结构重叠图像应用。

当前，通过嵌入快速响应（QR）码来扫描和验证有价值的票证，但是很少有研究将加密的信息嵌入QR码以防止伪造。在有关基于彩色图像的QR码的现有文献中，图像质量和防伪功能都有改进的空间。我们提出了一种光学解密的微结构重叠图像技术，将二维条形码的信息点隐藏在票证的图像保留区中，并利用光学原理将双凸透镜用作解密组件，使图像产生连续动态的图像。效果和增加伪造的难度。另外，嵌入参数的分布和差异也会影响隐藏信息的失真，这可能会导致QR码无法读取，因此提出了边缘检测中值预测器用于失真控制比较。实验结果证明，该方法对信息隐藏技术的失真小。