16位星空背景图像噪声抑制方法

A Noise Suppression Method for 16-Bit Starry Background Image

星空背景弱小目标观测图像的目标无任何形状、纹理及颜色信息,与恒星、噪声相似度高,抑制背景、消除噪声是最大限度保留目标信息的基础。从分析星空背景弱小目标观测图像的直方图特性出发,提出了不断舍弃高灰度区域、减小样本方差的方法估计星空背景参量,用此背景参数进行噪声抑制。实验证明,所提方法能够在复杂背景噪声和恒星的影响下,滤除大部分噪声,最大限度地保留和增强目标。

There is no shape,texture or color information in the observation image of the dim target under the starry background,and it has high similarity with stars and noise.Background suppression and noise elimination is the basis of retaining the target information to the maximum extent.Based on the analysis of the histogram characteristics of the observation image of small and dim target under the starry background,a starry background parameters estimation method is proposed,which continuously discards the high-gray areas and reduces the sample variance,and the background parameters are used to suppress noise.Experiments show that the method can filter out most of the noise,retain and enhance the target to the maximum extent under the influence of complex background noise and stars.