基于Sigmoid变换的快速单幅图像超分辨率
Fast single image super-resolution based on sigmoid transformation
摘要：
单幅图像超分辨率是指从一幅低分辨率的图像生成一幅高分辨率的图像，具有广泛的应用价值。作为一个不适定问题，已经提出了许多方法来重建丢失的图像细节的基础上的样本或先验。在本文中，我们提出了一种快速和简单的单图像超分辨率的策略，利用分片sigmoid变换作为一个强加的锐化正则化项的重建，实现了惊人的重建性能。大量的实验与其他国家的最先进的方法相比，证明了所提出的算法的优越性和效率。
英文摘要：
Single image super-resolution aims to generate a high-resolution image from a single low-resolution image, which is of great significance in extensive applications. As an ill-posed problem, numerous methods have been proposed to reconstruct the missing image details based on exemplars or priors. In this paper, we propose a fast and simple single image super-resolution strategy utilizing patch-wise sigmoid transformation as an imposed sharpening regularization term in the reconstruction, which realizes amazing reconstruction performance. Extensive experiments compared with other state-of-the-art approaches demonstrate the superior effectiveness and efficiency of the proposed algorithm.
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