计算机科学 ›› 2016, Vol. 43 ›› Issue (8): 304-308.doi: 10.11896/j.issn.1002-137X.2016.08.062
徐煜明,宋佳伟,肖贤建
XU Yu-ming, SONG Jia-wei and XIAO Xian-jian
摘要： 针对基于字典学习算法的计算效率低,且大多局限于处理单帧图像的问题,提出了一种基于亚像素块匹配和字典学习的超分辨算法,以实现对多帧图像的重构。采用亚像素块匹配方法对图像进行配准,依据配准结果构造低分辨率字典,并通过计算辅助图像块与目标图像块的相似度来选择用于重构的图像块。在Matlab平台上,将该算法用于静态图像和视频图像处理,获得了较好的重构效果。
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