The use of second-generation wavelets to attain superresolution with noise filtering is described for a captured sequence of low-resolution frames without any ssumptions on grid (sampling lattice) structure. The approach is based on 2D methods. The
Image Mosaicing and Super-Resolution（图像拼接和超分辨技术），里面详细介绍了多种图像配准、拼接和超分辨的方法，包括多帧低分辨率图像处理法，反向投影法等，当然还需要配上近期的论文来研究，最近在研究Super resolution from a single image一文，希望有人一起交流，有问题联系yanqinganssg@gmail.com
This book focuses on the super resolution of images and video. The authors’ use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR)image, or a sequence of HR images, from a set of low resolution (LR)
How can we obtain an HR image from multiple LR images. The basic premise for increasing the spatial resolution in SR techniques is the availability of multiple LR images captured from the same scene
In this dissertation we propose priors and learning based methods for super- resolution and other video processing applications. We also propose efficient al- gorithms for global motion estimation and projection on L1 ball under box con- straints. We
Image super resolution is the process of combining a set of overlapping low-resolution images to produce a single highresolution image. In this paper, a novel real-time superresolution system is presented which is based on a weighted mean super-reso
Spatially Adaptive Block-Based Super-ResolutionSuper-resolution technology provides an effective way to increase image resolution by incorporating additional information from successive input images or training samples. Various super-resolution algo
Learning a Deep Convolutional Network for Image Super-Resolution论文地址简介模型图模型框架算法流程Patch extraction and representationnon-linear mapping 非线性映射Reconstruction训练测试实验结果Pytorch代码实现使用说明文件存放运行代码model.pydata.pymain.pyrun.py运行操作图片对比Original imageBicubic imageSR
