基于凸集投影算法的被动毫米波图像超分辨率恢复

Passive Millimeter-wave Image Super-resolution Restoration Based on Projection onto Convex Sets

为了提高被动毫米波图像分辨率,该文将凸集投影算法(POCS)应用于被动毫米波图像的超分辨率恢复中。文章对引起被动毫米波成像系统图像降质的因素进行了分析和讨论,建立了成像模型,结合POCS算法原理,利用图像的噪声统计特性以及幅度约束条件,对POCS算法用于被动毫米波图像的超分辨率恢复进行了详细分析,并给出了算法流程。仿真结果表明:POCS算法用于被动毫米波图像的超分辨率恢复相对双线性差值方法恢复效果有明显改善。

In order to improve the resolution of image acquired by passive millimeter-wave （PM- MW） radiometer, a projection onto convex sets （POCS） approach to PMMW image super-resolution restoration is presented. The factors that cause the image of the PMMW imaging system to be blurred are analyzed, and the PMMW imaging model is set up. Combining with the principle of the POCS algorithm, this paper adopts the priori statistical knowledge of the system noise as a restrict condition and discusses the implementation of the POCS algorithm applied in the super-resolution restoration of PMMW images. The flow chart of the algorithm is also presented. The simulation results demonstrate that the POCS approach for PMMW image restoration can get better results compared with the biline- ar-interpolation algorithm. The efficient implementation of this algorithm proves that it is suitable for the application of passive millimeter-wave image restoration.