中文摘要：

针对海空背景下红外小目标图像信噪比低、难以检测的情况以及传统检测方法需要图像帧数多、实时性差等缺点，基于Donoho的小波变换阈值化方法，提出了一种更加适合海空背景下红外小目标检测的新算法．该算法采用一种新的阈值求取方法以及更加简单的硬阈值化函数对图像进行处理．通过仿真实验将新算法与传统检测算法进行比较，实验结果表明，无论在处理效果还是实时性上，新算法都优于传统算法．

英文摘要：

In order to slove the problem of low SNR, hard for detecting of IR small target in sea-sky background,the shortcomings of tradition algorithm needing for more frames of image, and the weaker character of real time, a new small target detection algorithm for the sake of more suitable to the backgroud was presented, which was based on thresholding process method with wavelet transform proposed by Donoho and applying a new threshold calculation and an easier hard-thresholding function. Comparing the new airthmetic with the traditions through simulation, the results show that the new airthmetie is better than others either in detection effect or character of real time.