为了消除海上红外弱小目标检测中图像背景杂波和噪声的影响, 提出了一种基于时空非局部相似性的红外图像弱小目标检测方法.该方法充分利用了相邻帧的红外图像序列间海面背景图像块的非局部自相关特性以及每帧内非局部背景图像块间的相似特性, 并引入时空域图像块模型, 该模型可利用加速近端梯度方法来有效求解.实验结果表明, 与传统的红外弱小目标检测方法相比, 所提方法不仅能更有效地保留目标的特征信息,还能使红外图像的峰值信噪比提高1.2倍以上, 信杂比提高1.8倍以上.

In order to eliminate the influence of background clutter and noise in the infrared images for the detection of infrared dim targets at sea, an infrared image dim target detection method based on temporal-spatial non-local similarity is proposed. The method makes full use of the non-local auto-correlation of the sea surface background image patch between the infrared image sequences of adjacent frames and the similarity between non-local background image patch in the frame. Based on this characteristic, a temporal-spatial image patch model is introduced. The model is effectively solved by accelerating the proximal gradient method. The experimental results show that compared with the traditional infrared dim target detection method, the proposed method can not only preserve the feature of the target more effectively but also increase the peak signal to noise ratio of the detected infrared image by 1.2 times and improve the signal to clutter ratio by 1.8 times.