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Image Restoration Algorithm using Weighted Switching Filter for Remove Random-Valued Impulse Noise

랜덤 임펄스 잡음을 제거하기 위한 가중치 스위칭 필터를 이용한 영상 복원 알고리즘

  • Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • Received : 2020.02.14
  • Accepted : 2020.04.08
  • Published : 2020.05.31

Abstract

In the modern society, the use of digital equipment is increasing along with the 4th industrial revolution, and the importance of image and signal processing is increasing. At the same time, research on noise reduction is being actively conducted. In this paper, we propose a switching filter algorithm for random-valued impulse noise cancellation. The proposed algorithm obtains the threshold value by determining the noise level present in the image, and threshold value is compared with the difference between the input pixel value and the reference value, and is used in the weight switching process of the filter. The final output of the filter is estimated by applying a pixel weight and a modified weight median filter according to the switching, and obtains a final output by comparing the estimated value with the input pixel value. To evaluate the performance of the proposed algorithm, we compared it with the existing methods using simulation and PSNR.

현대 사회는 4차 산업 혁명과 더불어 디지털 장비의 사용이 증가하여 영상 및 신호처리의 중요성이 높아지고 있으며, 이와 함께 잡음 제거에 관한 연구가 활발하게 이루어지고 있다. 본 논문은 랜덤 임펄스 잡음 제거를 위한 스위칭 필터 알고리즘을 제안한다. 제안한 알고리즘은 영상에 존재하는 잡음 수준을 판단하여 임계값을 구하며, 임계값은 입력 화소값과 기준치의 차이와 비교되어 필터의 가중치 스위칭 과정에 사용한다. 필터의 최종 출력은 스위칭에 따라 화소 가중치 및 변형된 가중치 메디안 필터를 적용하여 추정치를 구하며, 추정치와 입력 화소값을 비교하여 최종 출력을 구한다. 제안한 알고리즘의 성능을 평가하기 위해 시뮬레이션 및 PSNR 등을 이용하여 기존 방법들과 비교하였다.

Keywords

References

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