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基于小波非线性外推的图像增强方法 被引量:1

An Image Enhancement Method Based on Wavelet and Nonlinear Extrapolation
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摘要 针对图像增强的问题,提出了一种新的图像增强方法.该方法将小波变换与频域非线性外推算法相结合,首先利用小波变换提升图像的高频成分,再利用频域非线性外推算法增加图像的高频分量,最终实现图像的增强.实验表明,该新方法有效地提高了图像的视觉效果. In view of the problem of image enhancement, a new image enhancement method is proposed. This method combines the wavelet transform with the nonlinear extrapolation in frequency domain. It firstly utilizes the wavelet transform to enhance the high frequency components of an original image and then utilizes the nonlinear extrapolation in frequency domain to increase the high frequency components of the image; finally, the original image is enhanced. The experimental results have shown that this new method can improve the visual quality of images effectively.
出处 《红外》 CAS 2007年第1期14-16,共3页 Infrared
基金 教育部留学回国人员科研启动基金(教外司[2004]527号)
关键词 图像处理 图像增强 小波变换 非线性外推 image processing image enhancement wavelet transform, nonlinear extrapolation
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参考文献4

  • 1Rafaea C Gonzalez,Richard E Woods数字图像处理[M].北京:电子工业出版社,2003.
  • 2Chang Dah Chung, Wu Wen Rong. Image Contrast Enhancement Based on A Histogram Transformation of Local Standard Deviation [J]. IEEE Transactions on Medical Imaging, 1998, 17(4): 518-531.
  • 3刘国军,唐降龙,黄剑华,刘家峰.基于模糊小波的图像对比度增强算法[J].电子学报,2005,33(4):643-646. 被引量:19
  • 4Greenspan H, Anderson C H, Akber S. Image Enhancement by Nonlinear Extrapolation in Frequency Space[J]. IEEE Transactions on Image Processing,2000, 9(6): 1035-1048.

二级参考文献14

  • 1R hummel.Image enhancement by histogram transformation[J].Computer Graphics and Image Processing 6,1977.184-195.
  • 2H P Chan,C J Vyborny.Digital mammography:ROC studies of the effects of pixel size and unsharp-mask filtering on the detection of subtle microcalfications[J].Invest.Radiol,1987,22(7):581-589.
  • 3Jinhui Qin,El-Sakka M R.A new wavelet-based method for contrast/edge enhancement[A].Proc of IEEE Inter Conf on Image Proc[C].Barcelona,Spain:IEEE,2003.397-400.
  • 4E J Candès.Ridgelets:Theory and Application[R].USA:Department of Statistics,Stanford University,1998.
  • 5E J Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University,1999.
  • 6J L Starck,Fionn Murtagh,E J Candès,D L Donoho.Gray and color image contrast enhancement by the curvelet transform[J].IEEE Trans,Image Processing,2003,12(6):706-717.
  • 7Gonzalez R C,R E Woods.Digital Image Processing[M].Upper saddle River,New Jersey:07458,Prentice-hall,Inc,2000.
  • 8Iztok Koren,Andrew Laine.Interactive wavelet processing and techniques applied to digital mammography[A].Proc of IEEE Inter Conf on Acoustics,Speech and Signal Processing[C].Atlanta,GA:IEEE,May.1996.1415-1418.
  • 9Cohen A,Daubrchies I,Feauvean J.Biorthogonal base of compactly supported wavelets[J].Commu Pure and Appl Math,1992,45(5):485-560.
  • 10许雷,郑筱祥,陈兴灿.一种基于小波相位滤波及视觉非线性的医学图像自适应增强新方法[J].电子学报,1999,27(9):121-123. 被引量:22

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