自动化学报2013，Vol.39Issue(8)：1202-1213,12.DOI:10.3724/SP.J.1004.2013.01202
超分辨率图像重建方法综述
Survey of Super-resolution Image Reconstruction Methods
摘要
Abstract
Because of its extensive practical and theoretical values,the super-resolution image reconstruction (SRIR or SR) technique has become a hot topic in the areas of computer vision and image processing,attracting many researchers' attentions.This paper categorizes the SR problems according to their input and output conditions into three main categories:reconstruction-based SR,video SR and single image SR.For each category,the development history,common algorithm classes and state-of-the-art research achievements are reviewed comprehensively.We also analyze the characteristics of different algorithms.Afterwards,we discuss the combination of different super-resolution categories and the evaluation of image and video qualities.Thoughts and foresights of this field are given at the end of this paper.关键词
超分辨率图像重建/计算机视觉/图像处理/方法综述Key words
Super-resolution image reconstruction/computer vision/image processing/survey引用本文复制引用
苏衡,周杰,张志浩..超分辨率图像重建方法综述[J].自动化学报,2013,39(8):1202-1213,12.基金项目
国家自然科学基金重大国际(地区)合作研究项目(61020106004),国家自然科学基金(61005023,61021063),国家杰出青年科学基金项目(61225008).教育部博士点基金(20120002110033)资助 （地区）
Supported by Key International (Regional) Joint Research Program of National Natural Science Foundation of China (61020106004),National Natural Science Foundation of China (61005023,61021063),National Science Fund for Distinguished Young Scholars (61225008),and Ph.D.Programs Foundation of Ministry of Education of China (20120002110033) （Regional）
