[1]樊超,孙宁宁,夏旭.基于序列图像的超分辨率重建[J].红外技术,2010,32(5):279-282.
 FAN Chao,SUN Ning-ning,XIA Xu.Super-resolution Reconstruction Based on Image Sequences[J].Infrared Technology,2010,32(5):279-282.
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基于序列图像的超分辨率重建
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
32卷
期数:
2010年第5期
页码:
279-282
栏目:
出版日期:
2010-05-20

文章信息/Info

Title:
Super-resolution Reconstruction Based on Image Sequences
文章编号:
1001-8891(2010)05-0279-04
作者:
樊超孙宁宁夏旭
河南工业大学 信息科学与工程学院,河南 郑州 450001
Author(s):
FAN ChaoSUN Ning-ningXIA Xu
College of Information Science and Technology, Henan University of Technology, Zhengzhou 450001, China
关键词:
超分辨率图像重建最大后验概率梯度投影
Keywords:
Super-resolutionimage reconstructionmaximum posterior probabilitygradient projection
分类号:
TP911.73
文献标志码:
A
摘要:
提出一种从序列低分辨率欠采样图像中重建出一幅高分辨率图像的重建方法。该方法基于MAP算法,通过利用梯度投影的方法对重建结果不断进行迭代优化得到最终的理想高分辨率影像。实验结果证明,该方法有效,它不仅能够非常容易的引入各种先验条件进行约束从而提高解的收敛速度,并且能够得到质量较好的高分辨率重建图像。在取得相同质量图像的前提下,该算法所需时间明显降低。
Abstract:
A new super-resolution algorithm is proposed to the problem of reconstructing a high-resolution image from several low-resolution images that have been sub-sampled in this paper. In order to attain a high-resolution image, the algorithm is based on the MAP algorithm, solving the optimization by proposed iteration steps with using the gradient projection method. The results of the experiments indicate that the proposed algorithm has considerable effectiveness in that it can not only be very easy to utilize the priori conditions as constraints to improve the convergence rate, but also can get the high resolution reconstruction image expectedly. Simulation results demonstrate that the method can realize the super-resolution image with little time.

参考文献/References:

[1] ?吴艳, 陈凡胜. 基于IBP的实用的SRR重构算法研究[J]. 红外技术, 2009, 31(12): 720-723.
[2] ?Pal M. Artificial immune-based supervised classifier for land cover classi-fication[J]. International Journal ?of Remote Sensing, 2008, 29: 2273-2291.
[3] ?郭宝龙, 倪伟, 闫允一. 通信中的视频信号处理[M]. 北京: 电子工业出版社, 2007.
[4] ?S. Zhu, K. K. Ma. A new diamond search algorithm for fast block-matching motion estimation[J]. IEEE Trans. Image Processing, 2002, 9(2): 287-290.
[5] ?Zhang L, Zhong Y, Huang B, et al.. A resource limited artificial immune algor-ithm for supervised classification of multi/hyper-spectral remote sensing image[J]. International Journal of Remote Sensing, 2007, 28(7): 1665-1686.
[6] ?Waske B and van der Linden S. Classifying multilevel imagery from SAR and optical sensors by decision fusion[J]. IEEE Transactions on Geoscience and Remo-te Sensing, 2008, 46: 1457-1466.
[7] ?Ng M K, Sze C K, Yung S P. Wavelet algorithms for deblurring models[J]. International Journal of Imaging Systems and Technology, 2004, 14: 113-121.?

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备注/Memo

备注/Memo:
收稿日期:2009-12-19;修订日期:2010-04-08 .
作者简介:樊超(1976-),男,河南郑州人,博士,主要研究方向为空间光学、信息光学及图像处理等。
基金项目:河南工业大学博士基金项目,编号:2007BS033。

更新日期/Last Update: 2014-05-19