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An Image Restoration using Nonlinear Filter in Mixed Noise Environment

복합잡음 환경에서 비선형 필터를 사용한 영상복원

  • Long, Xu (Department of Control and Instrumentation Engineering, Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control and Instrumentation Engineering, Pukyong National University)
  • Received : 2013.05.29
  • Accepted : 2013.08.13
  • Published : 2013.10.31

Abstract

The digital images are being degraded by noise in the process of acquisition, storage and transmission, Gaussian or impulse noise is the representative noise. Meanwhile, the image has lots of tendency to be degraded by complex noise, so various researches are being conducted for reducing these complex noise. In this paper, to remove complex noise, the algorithm processed by modified switching median filter and modified adaptive weighted filter according to the result after judging the kinds of noise is proposed. In the simulation result, excellent denoising capabilities. Furthermore, we compared proposed algorithm with existing methods for objective judgement, and PSNR(peak signal to noise ratio) is used by the criterion of judgement.

디지털 영상은 획득, 저장 및 전송하는 과정에서 잡음에 의해 영상의 열화가 발생하고 있으며, 가우시안 또는 임펄스 잡음이 대표적이다. 한편, 영상은 복합잡음에 의해 훼손되는 경향이 많으며, 이러한 복합잡음을 제거하기 위해 다양한 연구가 진행되고 있다. 본 논문에서는 복합잡음을 제거하기 위해, 먼저 잡음의 종류를 판단한 후, 판단된 결과에 따라 변형된 스위칭 메디안 필터와 변형된 적응 가중치 필터로 처리하는 알고리즘을 제안하였으며, 시뮬레이션 결과 우수한 잡음제거 특성을 나타내었다. 그리고 객관적 판단을 위해 기존의 방법들과 비교하였으며, 판단의 기준으로 PSNR(peak signal to noise ratio)을 사용하였다.

Keywords

References

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  2. 복합 잡음 환경에서 공간적 특성을 고려한 잡음 제거 vol.23, pp.3, 2013, https://doi.org/10.6109/jkiice.2019.23.3.254