García Javier, Zalevsky Zeev, Ferreira Carlos
Departamento de Optica, Universitat de Valencia, c/Dr. Moliner, 50, 46100 Burjassot, Spain.
Opt Lett. 2006 Mar 1;31(5):586-8. doi: 10.1364/ol.31.000586.
We present a superresolving approach that allows one to exceed the diffraction limit and recover highly resolved contours of moving targets from a sequence of low-resolution images. The presented approach is suitable for remote sensing applications. The resolution decoding algorithm that is used to recover the high-resolution features of the target can be run partially via optical means and that way can be used to reduce the required computational complexity.
我们提出了一种超分辨率方法,该方法能够突破衍射极限,并从一系列低分辨率图像中恢复运动目标的高分辨率轮廓。所提出的方法适用于遥感应用。用于恢复目标高分辨率特征的分辨率解码算法可以部分通过光学手段运行,从而可用于降低所需的计算复杂度。