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A Study on Directionally Weighted Filter Algorithm in Impulse Noise Environments

임펄스 잡음환경에서 방향성을 고려한 가중치 필터 알고리즘에 관한 연구

  • Long, Xu (Department of Control and Instrumentation Engineering, Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control and Instrumentation Engineering, Pukyong National University)
  • Received : 2014.03.07
  • Accepted : 2014.04.10
  • Published : 2014.07.31

Abstract

Currently, with the rapid development of the digital age, multimedia-related image devices become popular. However, images are susceptible to corruption in processing image data due to the impulse noise and active researches have been conducted to restore these images. This paper, in order to restore the damaged images in impulse noise environments, suggested an image restoration algorithm which applies weights depending on spatial distance between directionality and pixel by focusing on damaged pixels. Additionally, this algorithm was compared with existing methods by using the PSNR (peak signal to noise ratio) as the objective standard to judge whether there were improved effects.

현재, 디지털 시대의 급속 발전과 함께 멀티미디어 관련 영상 장치들이 대중화 되고 있다. 그러나 영상 데이터를 처리하는 과정에서 임펄스 잡음에 의해 영상이 훼손되어 영상 인식이 어렵게 되며, 이러한 영상을 복원하기 위해 활발한 연구가 진행되고 있다. 본 논문에서는 임펄스 잡음환경에서 훼손된 영상을 복원하기 위해 훼손된 화소를 중심으로 방향성과 화소 사이의 공간적 거리에 따라 가중치를 적용하는 영상복원 필터 알고리즘을 제안하였다. 그리고 개선 효과의 객관적 판단 기준으로 PSNR(peak signal to noise ratio)을 사용하여 기존의 방법들과 비교하였다.

Keywords

References

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  1. 복합잡음 환경에서 Lagrange 보간법을 이용한 영상복원 알고리즘 vol.19, pp.2, 2014, https://doi.org/10.6109/jkiice.2015.19.2.455