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一种新的基于HIS和小波变换的图像融合方法 被引量:7

New image fusion method based on HIS and wavelet transform
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摘要 针对遥感图像影像分辨率低的问题,提出了一种新的基于HIS和小波变换的低分辨多光谱和高分辨全色图像的融合方法。该方法通过对高分辨全色图像小波分解后的低频分量进行低通滤波,将全色图像的低频信息中的高频分量融入到多光谱图像HIS空间的亮度信息的低频中;再将这个融合后的低频和高分辨全色图像的细节信息进行小波反变换,得到融合后的图像。该图像很大程度地保留了多光谱的光谱特性和高分辨图像的空间分辨率。仿真结果表明了本方法的有效性。 A new method was presented based on HIS transform and wavelet transform for the fusion of a low-resolution multispectral image and a high-resolution panchromatic image. The multi-spectral image should be transformed into the HIS space from RGB space. The high-resolution panchromatic image approximation then could be first merged into the multi-spectral image approximation of intensity component by adding the higher frequency components of the high-resolution panchromatic image approximation, and then the merged image was reconstructed by means of an inverse WT using the fused approximation and the details from the high-resolution panchromatic image. A comparison of the proposed method with old wavelet merging method and a HIS-only-transform method shows that the proposed method is effective in achieving better performance in combining and preserving spectral-spatial information for the test images.
出处 《计算机应用研究》 CSCD 北大核心 2008年第2期450-451,457,共3页 Application Research of Computers
基金 国家自然科学基金重点资助项目(60634030) 国家自然科学基金资助项目(60372085 60602056) 遥感科学国家重点实验室开放基金资助项目(SK050013)
关键词 色度 亮度 饱和度变换 小波变换 图像融合 多光谱图像 HIS transform wavelet transform (WT) image fusion multi-spectral image
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参考文献6

  • 1CLARKE J J, YUILLE A L. Data fusion for sensory information processing system[ M] . Norwell, MA: Kluwer, 1990 : 1-15 .
  • 2HALL D L. Mathematical techniques in multi-sensor data fusion [ M] . Boston: Artech House, 1992: 20- 59 .
  • 3倪国强.多波段图像融合算法研究及其新发展(Ⅱ)[J].光电子技术与信息,2001,14(6):1-6. 被引量:55
  • 4CHAVEZ P S Jr, SIDES S C, ANDERSONJ A. Comparison of three different methods to merge multi-resolution and multi-spectral data:TM & SPOT pan[ J] . Photogramm Eng Remote Sensing, 1991,57 ( 3) : 295- 303 .
  • 5SHETTIGARA V K. A generalized component, substitution technique for spatial enhancement of multi-spectral images using a high-resolution data set[ J] . Photogramm Eng Remote Sensing , 1992 , 58( 5) : 561- 567.
  • 6DAVID A Y. Image merging and data fusion by means of the discrete two-dimensional wavelet transform[ J] . J Opt Soc Am A, 1995, 12( 9) : 1834 -1841 .

二级参考文献18

  • 1Herbin M, Ventor A, Devaux J Y et al. Automated recognition of dissimilar image: Application to Medical imagery. Computer Vision, Graphics, and Image Procesdng, 1989, 47:77~88
  • 2Zikan K. An efficient exact algorithm forthe 'Least Squares' image registration problem.NTIS, 1989, AD-A208: 725.
  • 3Wasserstrom E. Subpixel registration. NTIS,1986, AD-A171:614
  • 4Burt P J, Adelson E H. The Laplacian pyramid as a compact image code. IEEE Transactions on Communication, 1983, COM-31(4): 532~540
  • 5Sims S R F, Philips M A. Target signature consistency of image data fusion alternatives. Optical Engineering, 1997, 36:743~754
  • 6Mallat S G. Multifrequency channel decomposition of image and wavelet models. IEEE Transactions on Acoustics, Speech and Signal Processing,1989, ASSP-37:2091~2110
  • 7蒋晓瑜.基于小波变换和伪彩色方法的多种图像融合算法研究:[博士学位论文].北京:北京理工大学,1997.
  • 8Smith A R. Color gamut transform pairs. Computer Graphics, 1978, 12:12~19
  • 9Joblove G H, Greenberg D. Color space for computer graphics. Computer Graphics, 1978,12:20~25
  • 10Toet A, Walravan J. New false color mapping for image fusion. Optical Engineering, 1996,35:650~658

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