Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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An efficient quality improvement scheme for magnified image by using simple convex surface and simple concave surface characteristics in image

영상의 단순 볼록 곡면과 단순 오목 곡면 특성을 이용한 확대 영상의 효율적인 화질 개선 기법

  • Jung, Soo-Mok (Division of Computer Science and Engineering, Sahmyook University)
  • Received : 2013.10.30
  • Accepted : 2013.11.19
  • Published : 2013.11.29
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Abstract

In this paper, an effective scheme was proposed to estimate simple convex surface and simple concave surface which exist in image. This scheme is applied to input image to estimate simple convex surface or simple concave surface. When simple convex surface or simple concave surface exists, another proposed efficient interpolation scheme is used for the interpolated pixel to have the characteristics of simple convex surface or simple concave surface. The magnified image using the proposed schemes is more similar to the real image than the magnified image using the previous schemes. The PSNR values of the magnified images using the proposed schemes are greater than those of the magnified images using the previous interpolation schemes.

본 논문에서는 영상에 존재하는 단순 볼록 곡면과 단순 오목 곡면을 추정하기 위한 효과적인 기법을 제안하였고 이 기법을 확대하고자 하는 입력 영상에 적용하여 단순 볼록 곡면 혹은 단순 오목 곡면을 갖는지 추정한다. 단순 볼록 곡면 혹은 단순 오목 곡면을 갖는 경우, 곡면의 특성이 충실하게 반영되도록 보간값을 구하는 효율적인 기법을 제안하였다. 본 논문에서 제안된 기법들을 적용하여 구한 보간 픽셀값들을 사용하여 구성된 확대 영상은 기존의 기법들에 의한 확대 영상보다 실제 영상에 더욱 충실하게 된다. 제안된 기법을 적용하여 구성된 확대 영상의 화질을 측정하기 위하여 PSNR(Peak Signal to Noise Ratio)을 사용하였다. 제안된 기법들을 적용한 확대 영상들의 PSNR값이 기존의 기법들을 적용한 확대 영상들의 PSNR값보다 큰 것을 실험을 통하여 확인하였다.

Keywords

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