论文概述: 图像超分辨率重建(Super-resolution Reconstruction, SRR)是指从降质低分辨率图像序列中构造出高分辨率图像白勺分辨率加强 技术。
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Algorithms For Image Super-Resolution Reconstruction 图像超分辨率重建算法
Image super-resolution reconstruction 图像超分辨率重建
video super-resolution reconstruction 视频超分辨率重建
The purpose of the super-resolution reconstruction from a sequence of images is to reconstruct one or more images of higher resolution from a continuous image sequence of lower resolution by means of information fusion.
序列图像的超分辨重建是指根据同一场景的低分辨率序列图像,通过信息融合技术重建一幅或多幅高分辨率图像。
参考来源 - 面向超分辨率重建的图像放大与融合方法·2,447,543篇论文数据，部分数据来源于NoteExpress
In some areas, it has a high requirement for the speed of super-resolution reconstruction.
在一些领域，对超分辨率重建速度的要求比较高。
Secondly, the super-resolution reconstruction is implemented using the iterative back projection algorithm.
然后通过迭代反投影算法进行超分辨率重建。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
在压缩视频的超分辨率重建中，量化约束集(QCS)作为编码模型的先验信息被广泛采用。
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