自适应双边滤波红外弱小目标检测方法

针对红外弱小目标检测,提出一种基于自适应双边滤波的背景预测算法.该算法利用空域低通滤波和图像灰度信息的非线性组合,自适应的对背景进行预测,达到提高弱小目标检测性能的目的.仿真和实验表明：与小波滤波的检测算法相比,该算法能够更加有效地从结构化背景中检测目标抑制背景.

Dim Infrared Targets Detection Based on Adaptive Bilateral Filtering

A adaptive bilateral filtering method is presented for background prediction in small targets detection of infrared images.To improve the performance of small targets detection,the true image background is estimated adaptively via nonlinear combination based on low-pass domain filter and the gray level information of images.Simulations and experiments show that the algorithm is more efficient to detect the small target from complicated background compared with the method based on wavelet filtering.