• Title/Summary/Keyword: 호모모프변환

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Image Enhancement Using Homomorphic Transformation and Multiscale Decomposition (호모모프변환과 다중 스케일 분해를 이용한 영상향상)

  • Ahn, Sang-Ho;Kim, Ki-Hong;Kim, Young-Choon;Kwon, Ki-Ryong;Seo, Yong-Su
    • Journal of Korea Multimedia Society
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    • v.7 no.8
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    • pp.1046-1057
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    • 2004
  • An image enhancement method using both homomorphic transformation and multiscale decomposition is proposed. The original image is first transformed to homomorphic domain by taking the logarithm, is then separated to multiscales. These multiscales are combined with weighting. The combined signal is exponentially transformed back into intensity domain. In homomorphic domain, the magnitude control of low frequency component make change the dynamic range, and the magnitude control of the other frequency components contribute to enhancement of the contrast. The "${\AA}$ trous" algorithm, which has a simple and efficient scheme, is used for multiscale decomposition. The performance of proposed method is verified by simulation.

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