首页> 外文会议>2012 IEEE 12th International Conference on Computer and Information Technology. >An Improved Regularization-Based Super-Resolution Reconstruction for Multi-frame Passive Millimeter-Wave Images
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An Improved Regularization-Based Super-Resolution Reconstruction for Multi-frame Passive Millimeter-Wave Images

机译:改进的基于正则化的多帧被动毫米波图像超分辨率重建

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In passive millimeter wave imaging, the image gets low resolution for the limitation of the antenna aperture. It is necessary to improve the quality of the image in the way of signal processing. This paper puts forward an improved regularization-based method for the reconstruction of the passive millimeter wave image sequences. First of all, this method utilizes an improved Laplacian operator to represent the prior information of the image. Then it enlarges the image in the way of partial differential equations and reconstructs to get high resolution image in the end. The proposed algorithm can improve the image resolution effectively while it preserves the edges of the image. The experiment completed with simulated image as well as actual passive millimeter-wave image in 91.5 GHz demonstrate the effectiveness and the feasibility of the algorithm.
机译:在无源毫米波成像中,由于天线孔径的限制,图像分辨率较低。有必要以信号处理的方式提高图像质量。提出了一种改进的基于正则化的被动毫米波图像序列重建方法。首先,该方法利用改进的拉普拉斯算子来表示图像的先验信息。然后以偏微分方程的方式放大图像,最后重建得到高分辨率的图像。所提出的算法在保留图像边缘的同时,可以有效提高图像分辨率。在91.5 GHz的仿真图像和实际无源毫米波图像上完成的实验证明了该算法的有效性和可行性。

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