We propose a sample learning based two-phase face image super-resolution method.
本文提出一种基于样本学习的两阶段人脸超分辨率技术。
参考来源 - 图像人脸检测及超分辨率处理·2,447,543篇论文数据，部分数据来源于NoteExpress
Finally, the global face image and local details are combined to the final face super-resolution results.
最后，将全局脸图像和局部细节信息相结合，得到最终的人脸超分辨率结果。
A novel region adaptive learning-based super resolution algorithm for human face images is proposed, which divides a face image into flat regions and detailed regions.
提出一种基于区域自适应学习的人脸图像超分辨率复原算法。
A new super-resolution face image reconstruction method based on linear object-class theory is proposed to deal with the problem of low-resolution face images.
为了解决单幅低分辨率人脸图像重构问题，提出了基于线性物体类理论重构超分辨率人脸图像的新方法。
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