• Title/Summary/Keyword: 호모몰픽 필터링

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Application of Homomorphic Filtering to Satellite Imagery and Geophysical Image Data (위성영상 및 지구물리 영상자료의 호모몰픽 필터링 적용)

  • Yoo Hee-Young;Lee Kiwon;Kwon Byung-Doo
    • Journal of the Korean earth science society
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    • v.26 no.1
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    • pp.58-65
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    • 2005
  • Homomorphic filtering improves image by enhancing high components and reducing low components in the Sequency domain based on FFT, as one of useful digital image processing techniques. In this study, the application program f3r homomorphic filtering was developed. Using this program, satellite imageries and geophysical image such as magnetic image data were processed and their results were analyzed. In case of applying to other techniques suck as histogram equalization and kernel-based masking f3r the same purpose. they often cause the slight distortion of boundary or overall change of brightness values on the whole image. Whereas. homomorphic filtering has ability to enhance selectively detailed components in a target image. Therefore. this technique can be effectively used for extraction or separation of complex types of characteristics contained in the satellite imagery. In addition, this technique would be applicable to investigate anomalous zone in various geophysical image data.

Improvement of Two-Dimensional Terahertz Image by Digital Image Processing (데이터 처리를 통한 테라헤르츠 (THz) 파의 2차원 이미지 개선)

  • Shon, Chae-Hwa;Jin, Yun-Sik;Jeon, Seuk-Gy;Kim, Keun-Ju;Jung, Sun-Shin;Yong, Chong-Won
    • Korean Journal of Optics and Photonics
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    • v.16 no.6
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    • pp.500-507
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    • 2005
  • Two-dimensional (2D) images that are produced by terahertz (THz) irradiation we presented. It is possible to obtain 2D image of various materials by observing the amplitude and the phase of the THz signals which go through them. Better images are produced by combining the amplitude and phase of the signal rather than using only one of these. Homomorphic filtering that is one elf the well-known technique of digital image signal processing is effective to reduce the noise signal and can provide better quality images. The results can be applied to real-time imaging afterwards.