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Research on Wavelet-Based Algorithm for Image Contrast Enhancement 被引量:2

Research on Wavelet-Based Algorithm for Image Contrast Enhancement
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摘要 A novel wavelet-based algorithm for image enhancement is proposed in the paper. On the basis of multiscale analysis, the proposed algorithm solves efficiently the problem of noise over-enhancement, which commonly occurs in the traditional methods for contrast enhancement. The decomposed coefficients at same scales are processed by a nonlinear method, and the coefficients at different scales are enhanced in different degree. During the procedure, the method takes full advantage of the properties of Human visual system so as to achieve better performance. The simulations demonstrate that these characters of the proposed approach enable it to fully enhance the content in images, to efficiently alleviate the enhancement of noise and to achieve much better enhancement effect than the traditional approaches. Key words wavelet transform - image contrast enhancement - multiscale analysis CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (69931010)Biography: Wu Ying-qian (1974-), male, Ph. D, research direction: image processing, image compression and wavelet. A novel wavelet-based algorithm for image enhancement is proposed in the paper. On the basis of multiscale analysis, the proposed algorithm solves efficiently the problem of noise over-enhancement, which commonly occurs in the traditional methods for contrast enhancement. The decomposed coefficients at same scales are processed by a nonlinear method, and the coefficients at different scales are enhanced in different degree. During the procedure, the method takes full advantage of the properties of Human visual system so as to achieve better performance. The simulations demonstrate that these characters of the proposed approach enable it to fully enhance the content in images, to efficiently alleviate the enhancement of noise and to achieve much better enhancement effect than the traditional approaches. Key words wavelet transform - image contrast enhancement - multiscale analysis CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (69931010)Biography: Wu Ying-qian (1974-), male, Ph. D, research direction: image processing, image compression and wavelet.
出处 《Wuhan University Journal of Natural Sciences》 EI CAS 2004年第1期46-50,共5页 武汉大学学报(自然科学英文版)
基金 SupportedbytheNationalNaturalScienceFoundationofChina (69931 0 1 0 )
关键词 wavelet transform image contrast enhancement multiscale analysis wavelet transform image contrast enhancement multiscale analysis
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参考文献7

  • 1Kim J Y,Kim L S.An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization[].IEEE Trans Circuits and Video Technology.2001
  • 2Chang D C,Wu W R.Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation[].IEEE Transactions on Medical Imaging.1998
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  • 6Li T L,Sundarehan M K.Adaptive Image Contrast Enhancement Based on Human Visual Properties[].IEEE Transactions on Medical Imaging.1994
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