Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Filter Algorithm using Noise Component of Image in Mixed Noise Environments

복합 잡음 환경에서 영상의 잡음 성분을 이용한 필터 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 : 2019.04.26
  • Accepted : 2019.05.08
  • Published : 2019.08.31
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Abstract

As use of digital equipment in various fields is increasing importance of processing video and signals is rising as well. However, in the process of sending and receiving signals, noise occurs due to different reasons and this noise bring about a huge influence on final output of the system. This research suggests algorithm for effectively repairing video in consideration to characteristics of its noise in condition where impulse and AWGN noises are combined. This algorithm tries to preserve video features by considering inference to noise components and resolution of filtering mask. Depending on features of input resolution, standard value is set and similar resolutions is selected for noise removal. This algorithm showing simulation result had outstanding noise removal and is compared and analyzed with existing methods by using different ways such as PSNR.

최근 다양한 분야에서 디지털 장비의 사용이 증가함에 따라 영상 및 신호처리의 중요성이 높아지고 있다. 하지만 신호의 송수신 과정에서 다양한 이유로 잡음이 발생하며, 이러한 잡음은 시스템의 최종 출력에 큰 영향을 미친다. 본 논문은 S&P 잡음과 AWGN이 혼합된 잡음 환경에서 영상의 잡음 특성을 고려하여 효과적으로 영상을 복원하는 알고리즘을 제안하였다. 제안한 알고리즘은 영상의 잡음 성분 유추와 필터링 마스크 내부의 화소 특성을 고려하여 영상의 특징을 보존하였으며, 입력 화소의 성질에 따라 기준치를 설정하여 이와 유사한 화소들을 선별하여 잡음을 제거하였다. 시뮬레이션 결과 제안한 알고리즘은 우수한 잡음제거 특성을 나타내었으며, 기존 방법들과 비교하기 위해 PSNR 등을 이용하여 비교 및 분석하였다.

Keywords

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