Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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High Density Salt and Pepper Noise Removal using Interpolation

보간법을 이용한 고밀도 Salt and Pepper 잡음 제거

  • Baek, Ji-Hyeon (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Park, Jun-Mo (School of Electronics and Biomedical Engineering, Tongmyong University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • 백지현 (부경대학교 제어계측공학과) ;
  • 박준모 (동명대학교 전자및의용공학부) ;
  • 김남호 (부경대학교 제어계측공학과)
  • Received : 2019.09.18
  • Accepted : 2019.09.30
  • Published : 2019.09.30
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Abstract

Recently, modern society has come up with the importance of video processing as various imaging systems have developed. However, deterioration occurs in the process of transmitting, processing, and storing video data for various reasons. Deterioration will damage the original image, and the typical noise is Salt and Pepper noise. There are A-TMF, CWMF, and linear interpolation as the means to eliminate Salt and Pepper noise. However, these methods show somewhat poor noise abatement performance in high-density noise areas. Therefore, this paper proposes an algorithm to eliminate noise using modified linear interpolation. To prove the validity of the proposed algorithm, PSNR, Profile was used to compare it with existing methods.

최근 현대 사회는 다양한 영상시스템이 발전함에 따라 영상처리의 중요성이 대두되고 있다. 하지만 영상데이터를 전송, 처리, 저장 하는 과정에서 다양한 이유로 열화가 발생하게 된다. 열화는 원 영상을 훼손하게 되며, 대표적인 잡음으로는 Salt and Pepper 잡음이 있다. 이러한 잡음을 제거하기 위한 방법으로 A-TMF, CWMF, 선형보간법 등이 있다. 하지만 이러한 방법들은 고밀도 잡음 영역에서 잡음 제거 성능이 다소 미흡하게 나타난다. 따라서 본 논문에서는 변형된 선형보간법을 이용하여 잡음을 제거하는 알고리즘을 제안한다. 제안한 알고리즘의 타당성을 증명하기 위해서 PSNR, 프로파일 등을 사용하여 기존의 방법의 알고리즘들과 비교하였다.

Keywords

References

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