红外图像增强技术是夜视技术领域一项重要内容。由于红外热成像系统的输出图像成像模糊且非均匀性明显，研究针对其图像的锐化增强算法具有重大意义。重点探讨了图像增强中的锐化算法，深入分析了现有算法在实现过程中锐化增强与大量引入噪声的矛盾根源，在大量仿真实验基础上，提出了一种有效的改进算法。改进算法取得了良好的实验效果，减弱了图像非均匀性对锐化的影响，较好的解决了图像锐化增强与噪声加重这对矛盾

The Infrared image enhancement is of great importance in the area of night vision technology. In this dissertation, attention was focused on image enhancement, especially on the image sharpening algorithm The conflict between edge sharpening and noise increasing with former algorithm was deeply analyzed. After abundant experiments, the former algorithm was improved. Not only the influence of the non-uniformity in infrared image system is eliminated, but also the problem of image enhancement contradicting with noise accumulation is resolved