【摘要】 针对无源毫米波成像中图像分辨率低的问题,提出了一种改进的最大后验(MAP)超分辨算法。该算法结合了Wiener滤波复原算法和基于泊松分布的MAP算法的优点,使用Wiener滤波复原算法恢复图像通带内的低频分量,运用MAP算法作为主迭代过程实现频谱外推,同时保证低频分量不被破坏;并对该算法的计算复杂度和实时性进行了分析。通过仿真可知,该算法可有效地恢复图像截止频谱外的信息,提高图像空间分辨率,处理时间少,易于实现并行处理。更多还原

【Abstract】 To solve the problem of poor resolution in passive millimeter wave(PMMW) imaging,we present an improved maximum a posteriori(MAP) super-resolution algorithm.The algorithm combines the advantages of Wiener filter restoration algorithm and MAP algorithm based on Poisson distribution.The Wiener filter is employed to restore the pass-band spectrum,and the MAP algorithm is applied to complete spectral extrapolation as the main iterative process to ensure that low-frequency component is not destroyed as spectral extrapolating.Meanwhile,the computational complexity and real time of the algorithm are analyzed.Furthermore,simulation results show that the algorithm can effectively restore the frequency out side the cut off frequency,enhances the resolution and can be implemented by parallel processing.更多还原