한국방사선학회논문지 (Journal of the Korean Society of Radiology)

  • 제12권4호
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  • Pages.505-510
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  • 2018
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  • 1976-0620(pISSN)
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  • 2384-0633(eISSN)
한국방사선학회 (The Korean Society of Radiology)
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CT영상에서 양자화기법을 이용한 영상압축의 개선

Improvement of Image Compression Using Quantization Technique in Computed Tomography Images

  • 박재홍 (춘해보건대학교 방사선과) ;
  • 유주연 (한국산업인력공단 정보통신팀) ;
  • 박철우 (동부산대학교 전자정보통신과)
  • Park, Jae-Hong (Department Radiological Technology, Choonhae College of Health Science) ;
  • Yoo, Ju-Yeon (Department of Information Communication, Human Resources Development Service of Korea) ;
  • Park, Cheol-Woo (Department of Electronic Information Communication, Dong-Pusan College)
  • 투고 : 2018.07.16
  • 심사 : 2018.08.31
  • 발행 : 2018.08.31
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초록

의료영상의 프랙탈 부호화 방법은 영상을 반복 변환시스템인 IFS(iterated function system)를 구성해야하고, 이를 위해 영상영역을 레인지 영역으로 분할하고 각 레인지블록에 대해 탐색하게 될 도메인 블록에서 가장 닮은 최적의 블록을 찾는다. 이때, 결정되는 변환계수 값과 좌표의 정보를 프랙탈 계수로 전송한다. 본 연구에서는 이러한 프랙탈 계수들을 확률분포를 추출할 수 있는 양자화기를 통해 양자화 하여 비트를 할당하였다. IFS를 구성하는 부호화과정에서 가변크기 블록방법을 사용하여 부호화시간을 단축하고 압축률을 향상시키는 방법을 제시하였다. 추후 프랙탈 부호화과정에서 화질을 최상으로 유지하면서 부호화시간을 단축시키고 압축률을 높이는 연구가 더 진행되어야 할 것 으로 본다.

In this study, we allocate bits by quantizing these fractal coefficients through a quantizer which can extract the probability distribution. In the coding process of IFS, a variable size block method is used to shorten the coding time and improve the compression ratio. In the future, it will be necessary to further improve the coding time and the compression rate while maintaining the best image quality in the fractal coding process.

키워드

참고문헌

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