印刷量子点点阵信息可靠性编解码算法
Reliable Encoding and Decoding Algorithm for Printed Quantum Dot Matrix Information

针对解决以印刷量子点为载体的信息点阵图像在印刷与传输的过程中所导致的信息点丢失与泄露等问题，设计了一种可靠性编解码算法。该算法采用hash标识 + 卷积码 + 交织编码 + 盲同步等多码合一的组合编码方式将得到的码流数据进行串并变换生成印刷量子点点阵图像，并以半色调网点的方式植入到载体图像中。经实验测试，该组合方式所得到的点阵图像相比较于BCH编码随机性更高，具有更加突出的检纠错能力，信息解码识读速率更高。该算法能够有效应解决印刷量子点防伪图像因漏印、污损等产生的随机性错误和突发性错误，提高信息传输的可靠性，使其在信息防伪领域拥有广阔的发展前景。
A reliable coding and decoding algorithm is designed to solve the problem of information point loss and leakage caused by the information dot matrix image using printed quantum dots as carrier during printing and transmission. The algorithm uses a combination of hash identification, convolution code, interlacing code and blind synchronization to serialize and transform the resulting code stream data to generate a printed quantum dot matrix image, which is embedded in the carrier image as a halftone dot. The experimental results show that the lattice image obtained by this combination method has higher randomness than BCH encoding, more prominent error detection and correction capabilities, and a higher rate of information decoding and reading. This algorithm can effectively solve random and unexpected errors caused by missing prints, contamination, etc., of printed quantum dot anti-counterfeiting images, improve the reliability of information transmission, and make it have broad development prospects in the field of anti-counterfeiting information.