针对模糊图像增强存在的缺陷，提出双混沌量子机制的粒子群优化算法。首先对量子粒子群增设收缩扩张因子来动态改变搜索边界；接着双混沌量子机制系统利用两种不同的混沌机制同时在搜索空间中进行独立搜索，根据两者搜索的最优点的距离情况来缩小搜索空间，得出空间真正的最优值；最后通过非完全Beta函数建立双混沌量子粒子群算法与模糊图像增强的关系，给出了算法流程。实验仿真显示本算法增强效果清晰，同时较好地保持了图像的整体视觉效果，直方图显示本算法较其他算法灰度值分布均匀，信噪比改善较大。

Aiming at the problem in fuzzy image enhancement, we proposed a dual chaotic quantum particle swarm optimization algorithm. Firstly, an additional contraction expansion factor is added to the quantum particle swarm to dynamically change the search boundary. Then the dual chiotic quantum mechanism system uses two different chaotic mechanisms to independently search in the search space, and according to the distance between the optimal points obtained with two mechanisms, the search space is narrowed and the true optimal value can be got. Incomplete Beta function is adopted finally to astablish the relationsip between the dual chaotic quantum particle swarm optimization and fuzzy image enhancement recovery relationship. The experimental simulation shows a clear recovery effect of the proposed algorithm, and the overall visual effect of the image is fairly good. In comparison with other algorithms, the histogram shows that the proposed algorithm results in evenly distributed gray values and can significantly improve the signal-to-noise ratio.