无源毫米波图像超分辨率处理方法

Super-resolution Reconstruction Method of Passive Millimeter-wave Image

超分辨率处理是一个病态问题,有效地利用已知信息和约束条件是实现最佳处理的重要因素。论文以无源毫米波成像退化模型为基础,给出点扩展函数估计;通过引入典型目标和场景毫米波辐射特性,把POCS(凸集投影)和MAP(最大后验概率)结合起来,提出一种无源毫米波图像超分辨率处理方法。实验结果表明,该方法能够加快收敛速度,在平滑噪声的同时保护图像边缘和细节。

Prior information and constraints are of importance in super-resolution image reconstruction which is always an ill-posed problem. In this paper, first, a degradation model for passive millimeter wave imaging is established and the point spread function （PSF） of the model is estimated. Then, by introducing radiation characteristics of typical objects and scene as a-prior knowledge, a method combining Projection Onto Convex Set （POCS） with Maximum A Posterior （MAP） is proposed for optimum image reconstruction. Experiment restdts show that the method proposed in this paper has good convergence and can preserve the textures well while reducing noise in the image.