期刊文献+

基于高斯金字塔的海量超大图像快速漫游算法 被引量:4

Rapid roaming algorithm for massive image based on Gaussian pyramid
在线阅读 下载PDF
导出
摘要 针对敦煌壁画海量超大数字图像显示时打开速度慢、刷新困难等问题,提出了一种基于高斯金字塔分块分层数据组织算法。该算法在不损害图像的情况下,可以对图像中任意一块区域进行快速显示和浏览。实验表明,该算法能够实现海量超大数字图像的实时漫游,并且具有最佳分辨率及较高的平稳性。 To resolve the problems of open slowly and flush difficulty for the massive Dunhuang fresco image, this paper put forward an algorithm of blocks and layers structure based on Gaussian pyramid. This algorithm could rapid browse and process any area of image but not damaging original image. Experiment results show that the algorithm can achieve real-time massive image data roaming, and can realize the best resolution and have higher stability.
出处 《计算机应用研究》 CSCD 北大核心 2012年第3期1141-1142,共2页 Application Research of Computers
基金 国家文物局数字遗产保护基金资助项目(2009140-22/05)
关键词 高斯金字塔 图像分块 图像分层 图像漫游 Gaussian pyramid image block image layer image roaming
  • 相关文献

参考文献5

二级参考文献24

  • 1张海藩著.软件工程导论[M].清华大学出版社,1993..
  • 2CastlemanKR.数字图像处理[M].北京:清华大学出版社,Prentice Hall,2000.387-402.
  • 3严蔚敏 吴伟民.数据结构[M].北京:清华大学出版社,1997..
  • 4Lindstrom P, Koller D, Ribarsky W, et al. Real-time continuous level of detail rendering of height fields [A].In: Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, New Orleans, Louisiana, 1996. 109~118
  • 5Rottger S, Heidrich W, Slussallek P, et al. Real-time generation of continuous levels of detail for height fields [A].In: Proceedings of Winter School in Computer Graphics, Plzen-Bory, Czech Republic, 1998. 315~322
  • 6Duchaineau M, Wolinsky M, Sigeti D E, et al. ROAMing terrain: Real-time optimally adapting meshes [A].In: Proceedings of IEEE Visualization'97, Phoenix, Arizona, 1997. 81~88
  • 7Ogren A. Continuous level of detail in real-time terrain rendering [D].Sweden: Sweden Umea University, 2000
  • 8Ulrich T. Rendering massive terrains using chunked level of detail control [A].In: Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, San Antonio, Texas, 2002. Course Notes #35
  • 9Principle and usement of file mapping in Win95.www.VCKBASE.com/article/multitask/0014.htm[Win95下内存映射文件的工作原理及使用方法www.VCKBASE.com/article/multitask/0014.htm].
  • 10Virtual memory management-on address.www.chethand.com/pc/diy/neic/2001415-3.php[虚拟内存管理-地址篇www.chethand.com/pc/diy/neic/2001415-3.php].

共引文献41

同被引文献38

  • 1孟放,查红彬.基于LOD控制与内外存调度的大型三维点云数据绘制[J].计算机辅助设计与图形学学报,2006,18(1):1-8. 被引量:15
  • 2Krygier J,Wood D.Making maps:A visual guide to map designfor GIS [M],New York:The Guilford Press,2011.
  • 3Hajar Nfomenl Fast face recognition using a combination of imagepyramid and hierarchical clustering algorithms [J].Wireless Com-munications Signal Processing,2009,13(15) :1-5.
  • 4赵波,边馥苓.面向移动GIS的动态四叉树空间索引算法[J].计算机工程,2007,33(15):86-87. 被引量:24
  • 5Lavanya A, Vani K, Sanjeevi S, et al. Image Fusion of the Multi-sensor Lunar Image Data Using Wavelet Combined Transformation[C]//Proc. of International Conference on Recent Trends in Information Technology. [S. 1.]: IEEE Press, 2011: 920-925.
  • 6Naidu V P S. Multi-resolution Image Fusion by FFT[C]//Proc. of International Conference on Image Information Processing. [S. 1.]: IEEE Press, 201l: 1-6.
  • 7Liu Zhigang, Liu Guiming. Video Image. Mosaic Based on Coarse Matching[C]//Proc. of International Conference on Multimedia Technology. [S. 1.]: IEEE Press, 2011: 3785-3788.
  • 8Li Zhokagxin. Video Mosaic with Motion Estimation[C]//Proc. of the 2nd Intemational Conference on Information and Computing Science. [S. 1.]: IEEE Press, 2009: 106-109.
  • 9Wand M, Bemer A, Bokeloh M, et al. Processing and Interac- tive Editing of Huge Point Clouds from 3D Scanners[J]. Computers & Graphics, 2008, 32(2): 204-220.
  • 10Pajarola R. Stream-processing Points[C]//Proc. of Conference on Visualization. Minneapolis, USA: IEEE Computer Society, 2005.

引证文献4

二级引证文献15

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