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基于重建方法的图像超分辨率技术发展现状分析与方向预测 被引量：3

Current Status Analysis and Future Directions Prediction for Image Super-Resolution Technique Based on Reconstructing Approach
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摘要 图像超分辨率(super resolution,SR)重建技术是利用一帧或多帧低分辨率(low resolution,LR)图像的信息来重建一帧清晰的高分辨率(high resolution,HR)图像的技术,是图像处理中的研究热点。介绍了基于重建方法的图像SR技术的基本原理及数学模型,以频域方法和空域方法作为分类依据,分别阐述了图像SR重建技术的经典方法和最新进展,并对各类算法的优缺点进行了系统的分析和总结,最后指出了基于重建方法的图像SR技术的研究方向。 Image super-resolution（SR）reconstruction technique is how to produce a clearly high resolution（HR）image from the information of one or several low resolution（LR）images,and it has been received increasing attention from the image processing community.In the paper, the fundamental principles and mathematical models of SR technology based on reconstruction were described firstly,and the history and state-of-art of image SR reconstruction were stated briefly according to the classification between the frequency domain method and the space domain method.Secondly,advantages and defects of different methods were analyzed and summarized systematically.Finally,the further research directions for image SR technique of reconstructing based the approach were proposed.
作者 卢紫微 吴成东
机构地区 辽宁石油化工大学计算机与通信工程学院 东北大学信息科学与工程学院
出处 《辽宁石油化工大学学报》 CAS 2014年第2期69-73,共5页 Journal of Liaoning Petrochemical University
基金 国家自然科学基金资助项目(61273078)
关键词 超分辨率 图像重建 对比分析 图像处理 正则化 Super-resolution Image reconstruction Comparative analysis Image processing Regularization
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献29

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共引文献7

同被引文献17

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引证文献3

二级引证文献3

辽宁石油化工大学学报
2014年 第2期

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