Journal of Korea Society of Digital Industry and Information Management (디지털산업정보학회논문지)

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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Non-Local Mean based Post Processing Scheme for Performance Enhancement of Image Interpolation Method

이미지 보간기법의 성능 개선을 위한 비국부평균 기반의 후처리 기법

  • 김동형 (한양여자대학교 컴퓨터정보과)
  • Received : 2020.06.10
  • Accepted : 2020.07.04
  • Published : 2020.09.30
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Abstract

Image interpolation, a technology that converts low resolution images into high resolution images, has been widely used in various image processing fields such as CCTV, web-cam, and medical imaging. This technique is based on the fact that the statistical distributions of the white Gaussian noise and the difference between the interpolated image and the original image is similar to each other. The proposed algorithm is composed of three steps. In first, the interpolated image is derived by random image interpolation. In second, we derive weighting functions that are used to apply non-local mean filtering. In the final step, the prediction error is corrected by performing non-local mean filtering by applying the selected weighting function. It can be considered as a post-processing algorithm to further reduce the prediction error after applying an arbitrary image interpolation algorithm. Simulation results show that the proposed method yields reasonable performance.

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References

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