一种改善被动毫米波重建图像质量的方法

Passive millimeter-wave image restoration based on improved POCS algorithm

凸集投影(POCS)算法是一种广泛使用的超分辨率图像重建方法。针对常规POCS算法收敛速度慢、存在边缘震荡效应的问题,论文结合被动毫米波图像降质模型,提出了一种用于被动毫米波图像超分辨率重建方法。该方法有效利用图像的边缘信息,根据不同的区域选择相应的松弛算子,同时建立边缘约束集来保证边缘图像的尖锐性。实验结果表明,在有效消除边缘震荡效应的同时提高了收敛速度,适用于被动毫米波图像的超分辨率处理。

The projections onto convex sets （POCS） algorithm is widely used for super-resolution image reconstruction o POCS super-resolution algorithms suffer two serious problems, one is the increasing ringing artifacts, the other is slow convergence rate. In this paper, an improved algorithm is proposed and used in super-resolution processing of passive millimeter images, according to the model of passive millimeter wave degradational images. The algorithm effective use of images on the verge of information, depending on the region select the appropriate relaxation operator, and has also set up the edge-hound to ensure the sharp edge of the image. Experimental results show that the algorithm has got a significant increase of convergence rate efficiency while reducing the ringing artifacts effectively, applicable to the passive millimeter wave of super-resolution image processing.