期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

简单有效的序列图像超分辨率重建算法 被引量：2

A Simple and Effective Algorithm of Super-resolution Image Reconstruction
下载PDF
导出
摘要 提出了一种基于运动估计和图像重叠取中值相结合的超分辨率重建算法(采用预滤波梯度法进行运动估计)。仿真实验的结果表明,该方法不仅能够通过较小的运算量得到较为清晰的重建图像,而且对图像噪声有着十分理想的抑制作用。 A combination of pre-fiher gradient motion estimation and picking median of serial images is presented to reconstruct a high-resolution image from a set of degraded, low-resolution images. A better reconstruction image is given with less computation. And the noise of images can also be restrained effectively.
作者 林虹 李庆辉 樊松波
机构地区 西安电子科技大学技术物理学院
出处 《计算机应用研究》 CSCD 北大核心 2005年第9期152-153,161,共3页 Application Research of Computers
基金 国家自然科学基金委员会与中国节能投资公司联合研究资金资助项目(60107003) 陕西省自然科学研究资助项目
关键词 超分辨率 预滤波梯度法 运动估计 中值滤波 Super-resolution Pre-filter Gradient Method Motion Estimation Median Filter
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献17

  • 1Aizawa K, Komatsu T, Saito T. A Scheme for Acquiring Very High Resolution Images Using Multiple Cameras [J]. IEEE Conference on Audio, Speech and Signal Processing, 1992, 3:289-292.
  • 2Stark H, Oskoui P. High-resolution Image Recovery from Image-plane Arrays, Using Convex Projections [J]. Journal of the Optical Society of America, 1989,6:1715-1726.
  • 3CASTLEMANKR.数字图像处理[M].北京:电子工业出版社,2002..
  • 4Chen T C, deFigueiredo R J P. Two-Dimensional Interpolation by Generalized Spline Filters Based on Partial Differential Equation Image Models [J]. IEEE Transactions on Acoustics, Speech, Signal Processing, 1985, ASSP-33(3):631-642.
  • 5Hou H S, Andrews H C. Cubic Splines for Image Interpolation and Digital Filtering[J]. IEEE Transactions on Acoustics, Speech, Signal Processing, 1978, ASSP-26(6):508-517.
  • 6G Keys R. Cubic Convolution Interpolation for Digital Image Processing [J]. IEEE Transactions on Acoustics, Speech, Signal Processing, 1981, ASSP-29(6):1153-1160.
  • 7User M, Aldroubi A, Eden M. Fast B-spline Transforms for Continuous Image Representation and Interpolation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(3):277-285.
  • 8Battiato S,et al. A Locally Adaptive Zooming Algorithm for Digital Images [J]. Image and Vision Computing, 2002,20:805-812.
  • 9Tsai R Y, Huang T S. Multiframe Image Restoration and Registration [A].Advances in Computer Vision and Image Processing[M]. 1984.317-339.
  • 10Kim S P,et al. Recursive Reconstruction of High Resolution Image from Noisy Undersampled Multiframe [J]. IEEE Transactions on Acoustics, Speech, and Signal Processing,1990,38(6):1013-1027.

共引文献41

同被引文献7

  • 1Capel D,Zisserman A.Computer vision applied to super resolution[J]. IEEE Signal Processing Magazine, 2003,20(3 ) : 75-86.
  • 2Capel D P,Zisserman A.Automated mosaicing with superresolution zoom[C]//Proc CVPR, 1998: 885-891.
  • 3Smith S M,Brady J M.SUSAN-A new approach to low level image processing TR95SMS1c[R].UK:Oxford University,1995.
  • 4Capel D P.Image mosaicing and super-resolution[D].Robotics Research Group Department of Engineering Science University of Oxford,2001 21-41.
  • 5RafaelC.Gonzalez,RichardE.Woods.数字图像处理(第二版)[M].北京:电子工业出版社,2009:463～471.
  • 6D. Capel, A. Zisserman. Computer vision applied to super res- olution. IEEE Signal Processing Magazine. 2003, 20 (3) : 75 - 86.
  • 7郭海霞,郭海龙,解凯.基于边缘信息改进的双线性插值算法[J].计算机工程与应用,2011,47(31):171-174. 被引量：9

引证文献2

二级引证文献2

计算机应用研究
2005年 第9期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部