Abstract: Image super-resolution reconstruction technology is to deal with the input low resolution image, so as to reconstruct the high resolution image, which has become a hotspot in the field of image processing. In this paper, the research progress of image super-resolution reconstruction is reviewed. Firstly, the basic principle of image super-resolution reconstruction is described. Secondly, the algorithms of IBP and POCS in image super-resolution reconstruction based on reconstruction, the algorithms of sparse representation and deep neural network in super-resolution reconstruction based on learning and some related algorithms are reviewed. Finally, the prospect of image super-resolution reconstruction is proposed.

Key words: image, super-resolution, reconstruction

摘要： 图像超分辨率重建技术对于输入的低分辨率图像进行相关处理，从而重构出高分辨率图像，该技术已经成为图像处理研究领域的一个热点方向。对超分辨率图像重建的研究进展进行了综述。阐述了图像超分辨率重建的基本原理。对基于重建的图像超分辨重建中：IBP，POCS等算法，基于学习的图像超分辨率重建中：稀疏表示，基于深度神经网络等算法及一些相关改进的算法进行了综述。对图像超分辨率重建的研究提出了展望。

关键词: 图像, 超分辨率, 重建