为了提高图像盲复原质量，提出了量子比特编码算法。首先在免疫系统中的对量子克隆选择，并且对量子抗体克隆比例控制；然后量子抗体随机赋值，使抗体都以随机概率处于所有可能状态的线性叠加态中，以量子态进行观测，将得到确定的某一个二进制；接着建立图像盲复原重建模型，量子编码卷积算法来填充空洞像素；最后给出了算法流程。实验仿真显示该算法对图像盲复原重建清晰，画质好，全图最大局域误差最小，结构相似度接近于1。

In order to improve the quality of blind image restoration, quantum bit code algorithm is proposed. Quantum clone is selected in immune system, and antibody controlled. Antibody is determined value in state of linear superposition at random, state of quantum is observed and obtained by binary. Blind image restoration model is built, quantum code convolution is filled void pixel. Finally, process is given. Simulation shows that blind image restoration reconstruction of this algorithm is clear and better, local manimum error (LME) is least, structural similarity (SSIM) is closed to 1.