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A NOVEL MAXIMUM LIKELIHOOD METHOD FOR IMAGE RECONSTRUCTION WITH INCREASED SAMPLING

机译:采样增加的图像重构的一种新的最大似然方法

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We have developed a novel maximum likelihood method dubbed IRIS (image reconstruction with increased sampling) for reconstructing images that have been blurred by a known point-spread function and recorded on a CCD detector. The IRIS method allows the reconstructed images to be represented on a finer grid than that defined by the CCD detector. We illustrate the method on images of the solar corona obtained with the soft X-ray telescope aboard the Yohkoh satellite. The IRIS method can be adapted easily for use with other imaging systems to provide superresolved reconstructed images.
机译:我们已经开发了一种新的最大似然方法,称为IRIS(具有增加采样的图像重建),用于重建已被已知点扩散函数模糊并记录在CCD检测器上的图像。 IRIS方法允许将重建的图像表示在比CCD检测器定义的网格更细的网格上。我们用Yohkoh卫星上的软X射线望远镜在太阳日冕的图像上说明了该方法。 IRIS方法可以轻松调整,以与其他成像系统一起使用,以提供超分辨的重建图像。

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