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Super Resolution Image Reconstruction Algorithm Based on S+P Transformation and Interpolation

机译:基于S + P变换和插值的超分辨率图像重建算法

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According to characteristics of image stratification transformation and interpolation processing, this paper proposes an image sequences super resolution reconstruction method based on S+P transformation and interpolation algorithm, which can improve the image resolution. Experiments show that this method can properly retain the details in original image. After being processed using interpolation and S+P reconstruction, the image obtained will be of higher resolution, better visual effect, higher Peak Signal Noise Ratio (PSNR) and more detail information. Therefore, this algorithm is an effective method of super resolution image reconstruction.
机译:根据图像分层变换和插值处理的特征,本文提出了一种基于S + P变换和插值算法的图像序列超分辨率重构方法,其可以提高图像分辨率。实验表明,该方法可以正确地保留原始图像中的细节。使用插值和S + P重建处理之后,所获得的图像将具有更高的分辨率,更好的视觉效果,更高的峰值信号噪声比(PSNR)和更多细节信息。因此,该算法是超分辨率图像重建的有效方法。

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