한국생산제조학회지 (Journal of the Korean Society of Manufacturing Technology Engineers)

  • 제19권4호
  • /
  • Pages.562-569
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  • 2010
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  • 2508-5093(pISSN)
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  • 2508-5107(eISSN)
한국생산제조학회 (The Korean Society of Manufacturing Technology Engineers)
권호 표지

확대 영상의 몽롱화 현상을 제거하기 위한 보간 알고리즘 연구

A Study on the Interpolation Algorithm to Improve the Blurring of Magnified Image

  • 이준호 (한국폴리텍I대학 서울정수캠퍼스 LCD반도체시스템과)
  • 투고 : 2010.01.05
  • 심사 : 2010.06.16
  • 발행 : 2010.08.15
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초록

This paper analyzes the problems that occurred in the magnification process for a fine input image and investigates a method to improve the blurring of magnified image. This paper applies a curve interpolation algorithm in CAD/CAM for the same test images with the existing image algorithm in order to improve the blurring of magnified image. As a result, the nearest neighbor interpolation, which is the most frequently applied algorithm for the existing image interpolation algorithm, shows that the identification of a magnified image is not possible. Therefore, this study examines an interpolation of gray-level data by applying a low-pass spatial filter and verifies that a bilinear interpolation presents a lack of property that accentuates the boundary of the image where the image is largely changed. The periodic B-spline interpolation algorithm used for curve interpolation in CAD/CAM can remove the blurring but shows a problem of obscuration, and the Ferguson' curve interpolation algorithm shows a more sharpened image than that of the periodic B-spline algorithm. For the future study, hereafter, this study will develop an interpolation algorithm that has an excellent improvement for the boundary of the image and continuous and flexible property by using the NURBS, Ferguson' complex surface, and Bezier surface used in CAD/CAM engineering based on the results of this study.

키워드

참고문헌

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