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图像超分辨率重建技术研究综述

Review of Research on Image Super-resolution Reconstruction Technology
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摘要 图像超分辨率重建技术一直是计算机视觉中一个十分受重视和关注的热点问题,在医疗、遥感、监控等领域都有着十分重要的研究价值。近年来,伴随着深度学习技术的蓬勃发展,图像超分辨率重建技术被广泛开始应用于更多计算机视觉的相关领域。本文首先梳理了图像超分辨率重建的发展与现状,然后对比总结了基于传统技术与基于深度学习技术的相同点与不同点。最后讨论了目前图像超分辨率重建技术所面临的潜在问题,并对未来的发展方向做出了全新的展望。 Image super-resolution reconstruction technology has always been a hot issue that has received great attention and atten⁃tion in computer vision.It has very important research value in medical,remote sensing,surveillance and other fields.In recent years,with the vigorous development of deep learning technology,image super-resolution reconstruction technology has been wide⁃ly used in more computer vision related fields.This article first combs the development and current situation of image super-resolu⁃tion reconstruction,and then compares and summarizes the similarities and differences between traditional technology and deep learning technology.Finally,the potential problems faced by the current image super-resolution reconstruction technology are dis⁃cussed,and made a new outlook for the future development direction.
作者 刘郭琦 刘进锋 LIU Guo-qi;LIU Jin-feng(School of Information Engineering,Ningxia University,Ningxia 750021,China)
出处 《电脑知识与技术》 2021年第15期14-16,共3页 Computer Knowledge and Technology
基金 宁夏自然科学基金(项目编号:2021AAC03084)。
关键词 深度学习 热点问题 图像超分辨率重建技术 传统技术 计算机视觉 Deep Learning Hot issue Image super-resolution reconstruction technology Traditional technology Computer vision
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