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A Mutual Information Based Sub-Pixel Registration Method for Image Super Resolution

机译:基于互信息的互信息超分辨率的子像素注册方法

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Super resolution reconstruction of images has become a very important research topic nowadays. The accuracy of the image registration plays a crucial role in super resolution. In this paper we present a new sub-pixel registration method which makes use of the combination of mutual information measure criteria and the NEDI interpolation algorithm. Experimental results show that our proposed method can yield accurate registration results. When applying this registration results in SR image reconstruction, PSNR of the image estimated by our proposed method is 1-2 dB higher than those of the images reconstructed by other registration methods.
机译:超级分辨率重建图像已经成为现在一个非常重要的研究主题。图像配准的准确性在超级分辨率中起着至关重要的作用。在本文中,我们介绍了一种新的子像素注册方法,它利用了互信息测量标准和NEDI插值算法的组合。实验结果表明,我们的提出方法可以产生准确的注册结果。当应用此注册结果在SR图像重建中,由我们所提出的方法估计的图像的PSNR比由其他登记方法重建的图像高出1-2dB。

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