基于场景有序运动的热红外视频去噪方法

在信号动态范围较小的场景下热红外图像的信噪比偏低,同时在诸多应用中其场景会在某一方向发生单调运动。基于这种考虑,提出了一种基于场景有序运动的热红外视频去噪方法。通过低秩矩阵近似的相关理论,引入场景有序运动这一先验知识并构建严格的观测矩阵,利用加权核范数最小化算法求解去噪的低秩矩阵形式并重构视频信号。经仿真分析,本方法在强噪声环境下具有较高的峰值信噪比与降噪鲁棒性,通过海洋遥感数据验证了方法的实际效果,从而在遥感与搜救等领域具有一定应用价值。

Thermal infrared video denoising method based on sequential scene motion

The thermal infrared image has lower signal-to-noise ratio (SNR) in a scene with small signal dynamic range.In many real applications,the scene is towards one continuous monotonous direction.Under this consideration,a scene-based video denoising method was proposed.By using low rank matrix approximation (LRMA) theory,a prior knowledge was introduced to construct strict observations.The denoising low-rank matrix of observations was solved via weighted nuclear norm minimization (WNNM) and then reconstructed video signal.Simulation showed that the method had high peak signal-to-noise ratio (PSNR) and denoising robustness.Processed data of ocean remote sensing verified the practical effect of the method.The method has certain application value in a field of remote sensing and rescue.