期刊文献+

几种平移不变性图像融合方法的客观评价 被引量:1

下载PDF
导出
摘要 随着图像传感器技术的发展,多传感器图像融合已成为图像理解、计算机视觉以及遥感领域中的一个研究热点,多种图像融合方法相继提出。但是,对融合效果评价的方法一般只涉及主观视觉评价及单因素评价,在实际中存在很大的局限性。针对这个问题,建立了一套对图像融合质量进行定量评价的方法和准则,应用此方法和准则对基于离散小波框架、基于可操纵方向金字塔变换和基于双树复小波变换三种具有平移不变性的图像融合方法进行了客观定量评价,综合比较了这三种融合方法的性能差异与优劣。
出处 《飞航导弹》 北大核心 2008年第2期38-43,共6页 AERODYNAMIC MISSILE JOURNAL
  • 相关文献

参考文献12

  • 1Zheng Yufeng,Edward A Essock,Bruce C Hansen.Advanced discrete wavelet transform fusion algorithm and its optimization by using the metric of image quality index.Optical Engineering,2005,44 (3):1-12
  • 2李玲玲,丁明跃,周成平,彭晓明,张天序.一种基于提升小波变换的快速图像融合方法[J].小型微型计算机系统,2005,26(4):667-670. 被引量:28
  • 3Wang Haihui.A new multiwavelet-based approach to image fusion.Journal of Mathmatical Imaging and Vision,2004,21:177-192
  • 4Filippo Nencini,Andrea Garzelli,Stefano Baronti,et al.Remote sensing image fusion using the curvelet transform.Information Fusion,2007,8(2):143-156
  • 5Petrovic Vladimir,Tim Cootes.Objectively adaptive image fusion.Information Fusion,2007,8(2):168-176
  • 6李玲玲,周成平,丁明跃,张天序.基于易操纵金字塔的多传感器图像融合[J].计算机工程与应用,2003,39(22):24-26. 被引量:6
  • 7李玲玲,王洪群,娄联堂,丁明跃.平移不变性图像融合及在打击效果评估中的应用[J].华中科技大学学报(自然科学版),2006,34(7):67-70. 被引量:4
  • 8M Unser.Texture classification and segmentation using wavelet frames.IEEE Transactions on Image processing,1995,4(11):1549-1560
  • 9W T Freeman,E.H.Adelson.The design and use of steerable filters.IEEE Transaction on Pattern Analysis and Machine Intelligence,1991,13(9):891-907
  • 10E P Simoncelli.Design of multi-dimensional derivative filters.In:Proceedings of First International Conference on Image Processing,1994:790-793

二级参考文献20

  • 1Butt P J,Adelson E H.The Laplacian Pyramid as a Compact Image Code[J].IEEE Transactions on Communications, 1983 ; 31 (4) : 532-540.
  • 2Toet A.Image Fusion by a Ratio of Low Pass Pyramid[J].Pattem Recognition Letters, 1989;9(4) :245-253.
  • 3Burt P J.A Gradient Pyramid Basis for Pattern-Selective Image Fusion. Society for Information Display Digest of Technical Papers, 1985 ; 16: 467-470.
  • 4Matsopoulos G K,Marshall S.Application of Morphological Pyramids: Fusion of MR and CT Phantoms[J].Joumal of Visual Communication and Image Representation, 1995 ; 16 ( 2 ) : 196-207.
  • 5H Li,Manjunath B S,Mitra S K.Multisensor Image Fusion Using the Wavelet Transform[J].Graph Models Image Process, 1995 ;57(3 ) : 235-245.
  • 6Freeman W T,Adelson E H.Steerable Filters for Early Vision.Image Analysis and Wavelet Decomposition,1990:406-415.
  • 7Freeman W T,Adelson E H.The Design and Use of Steerable Filters [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991 ; 13(9) :891-906.
  • 8Eskicioglu P S Fisher.Image Quantity Measures and Their Performanee[J].IEEE Transactions on Communications,1995;43(12):2959-2965.
  • 9Burt P J, Adelson E H. The laplacian pyramid as a compact image code [J]. IEEE Transactions on Communications.1983, 31(4): 532-540.
  • 10Toet A. Image fusion by a ratio of low pass pyramid[J]. Pattern Recognition Letters. 1989, 9(4): 245-253.

共引文献33

同被引文献19

  • 1Goodman J W. Some fundamental properties of speckle[J]. Journal of the Optical Society of America, 1976,6(11) : 1145 - 1150.
  • 2Liu Z X, Hu S H, Xiao Y, et al. SAR image target extraction based on 2-D leapfrog filtering[C]// Proc. of the IEEE 10th In-ternational Conference on Signal Processing ,2010 : 1943 - 1946.
  • 3肖扬,张颖康.一种基于二维混合变换的SAR回波信号去噪预处理方法[P].2009100083345.7.[2009-05-04].
  • 4Do M N. Directional multiresolution image representation[D]. Switzerland: ecole Polytechnique Federale de Lausanne,2001.
  • 5Do M N, Vetterli M. Contourlets: a directional multiresolution image representation [C ] //Proc. of the IEEE International Conference on Image Processing, 2002: 357 - 360.
  • 6Eslami R, Radha H. Wavelet based contourlet transform and it's application to image eoding[C]// Proc. of the IEEE Interna- tional Conference on Image Processing, 2004:3189 - 3192.
  • 7Eslami R, Radha H. The contourlet transform for image de-noising using cycle spinning[C]//Proc, of the Asilomar Conference on Sig- nals, Systems, and Computers, 2003 : 1982 - 1986.
  • 8Kingsbury N. The dual tree complex wavelet transform: a new efficient tool for image restoration and enhancement[C]// Proc. of the Island of Rhodes Greece, 1998 : 319 - 322.
  • 9Kingsbury N. Image processing with complex wavelets [J]. Philosophical transactions: Mathematical Physical and Engi- neering Sciences, 1999,357(1760) :2543 - 2560.
  • 10Kingsbury N. Shift invariant properties of the dual-tree complex wavelet transform[C]//Proc, of the IEEE International Con- ference on Acoustics Speech and Signal, 1999:1221 - 1224.

引证文献1

二级引证文献6

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