为了在红外成像系统中实现高效的自动对焦功能，深入分析和讨论了红外成像系统中自动对焦功能的优化方法及特点。结合具体的工程化应用，提出了一种对图像清晰度评价函数局部随机起伏噪声的估计方法，该方法可以提高自动对焦功能的可靠性，通过将图像清晰度评价函数的灵敏度作为反馈量引入爬坡过程，优化了爬坡算法的收敛速度。其优化方法在工程应用中的实施效果，验证了设计的正确性，优化方法的有效性。

In order to realize high efficiency auto focusing function in infrared imaging system, the characteristics of infrared imaging systems are analyzed. The optimization methods of auto-focusing functions in infrared imaging systems are discussed and summarized. Combined with practical engineering applications, a method for estimating the local random fluctuation noise of the image sharpness evaluation function is proposed. The method improves the reliability of automatic focusing processes. By introducing the sensitivity of image sharpness evaluation function as feedback into the climbing process, the convergence speed of the climbing algorithm can be optimized. The optimization methods were applied to engineering applications, and its implementation verified the correctness of the design and the effectiveness of the optimization methods.