基于降维处理的图像超分辨率恢复方法研究
Image Restoration Using Dimensional Reduction Method
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摘要: 研究了利用单幅低分辨率图像重构高分辨率图像的问题.针对以往基于样本库进行图像重构算法效率较低的缺陷,提出了一种利用支持向量机回归和PCA进行特征压缩的图像重构算法.实验结果显示本文方法较插值算法有更优的恢复结果,并能同时保证较好的实时处理特性,能很好的逼近原始的真实图像.Abstract: In this paper, we show a SVR and PCA based image restoration method. The experiments show that our method can achieve better performance than cubic interpolation method and also has very high computational efficiency.
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