대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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SOFM과 LAM을 이용한 영상 보간에 관한 연구

A Study on Image Interpolation Using SOFM and LAM

  • 장동언 (중앙대학교 제어계측공학과) ;
  • 정태상 (중앙대학교 제어계측공학과)
  • Chang, Dong-Eon (Department of Control and Instrumentation Engineering Chung-Ang University) ;
  • Chung, Tae-Sang (Department of Control and Instrumentation Engineering Chung-Ang University)
  • 발행 : 1998.11.28
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초록

When resampling an image to a new set of coordinates, there is often a noticeable loss in image quality. The interpolation kernel determines the quality of interpolation. In this paper, We think two interpolation methods: cubic-spline method, neural net method, at first study given interpolation method using spline and then present new interpolation methon using SOFM and LAM(neural net method), finally compare the performance of several interpolation methods including replication, bilinear, spline and new methods.

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