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超分辨率图像重建方法研究 被引量：8

Study on the Reconstruction Methods for Super-Resolution Image
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摘要 超分辨率图像重建就是由低分辨率图像序列来估计高分辨率图像,已成为当前研究的热点。对超分辨率的概念和应用场合进行了阐述,对空域的几种主要重建方法进行了详尽分析与比较,并研究了压缩域中的重建方法,指出了各自的优点与不足。研究表明,超分辨率重建具有广泛的应用前景,其成像模型、运动估计、重建算法和实时实现将是今后研究的重点。 Super-Resolution（SR） reconstruction is to estimate High-Resolution（HR） images from Low-Resolution（LR） image sequence. This technology has become one of the hot spots in current research. The concept of SR and the fields of its applications arc presented, the typical reconstruction methods in spatial and compressed domains are investigated and compared by pointing out their merits and demerits. The results of study sbow that SR has a vast range of prospects and the research trends will tocus on imaging model, motion estimation, reconstruction algorithms and real-time implementation.
作者 徐忠强 朱秀昌
机构地区 南京邮电大学"图像处理与图像通信"信息产业部与江苏省重点实验室
出处 《自动化仪表》 CAS 2006年第11期1-4,共4页 Process Automation Instrumentation
基金 江苏省自然科学基金资助课题项目(编号:BK2004151)
关键词 超分辨率 图像重建 压缩视频 Super-Resolution Image reconstruction Compressed video
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献26

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二级参考文献12

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共引文献4

同被引文献70

引证文献8

二级引证文献25

自动化仪表
2006年 第11期

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