The effective noise reduction method in infrared image using bilateral filter based on median value
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
In this paper, we propose the bilateral filter based on median value that can reduce random noise and impulse noise with minimal loss of contour information. In general, EO / IR camera to generate a random or impulse noise due to a number of reasons. This noise reduces the performance of detecting and tracking by signal processing. To reduce noise, our proposed bilateral filter sorts the values of the target pixel and the peripheral pixels, and extracts a median filter coefficients of the Gaussian type. Then to extract the Gaussian filter coefficient involved with the distance between the center pixel and the surrounding pixels. As using those filter coefficients, our proposed method can remove the various noise effectively while minimizing the loss of the contour information. To validate our proposed method, we present experimental results for several IR images.
Abstract
In this paper, we propose the bilateral filter based on median value that can reduce random noise and impulse noise with minimal loss of contour information. In general, EO / IR camera to generate a random or impulse noise due to a number of reasons. This noise reduces the performance of detecting and tracking by signal processing. To reduce noise, our proposed bilateral filter sorts the values of the target pixel and the peripheral pixels, and extracts a median filter coefficients of the Gaussian type. Then to extract the Gaussian filter coefficient involved with the distance between the center pixel and the surrounding pixels. As using those filter coefficients, our proposed method can remove the various noise effectively while minimizing the loss of the contour information. To validate our proposed method, we present experimental results for several IR images.
참고문헌 (10)
- C. Meola, "The use of infrared thermography for nondestructive evaluation of joints", Infrared Physics & Technology, 46(1), pp.93~99 (2004)
- L. Becker, "Influence of IR sensor technology on the military and civil defense", Proc. of SPIE, 6127, pp.61270S-1~61270S-15 (2006)
- H. B. Srivastaval, "Airborne Infrared Search and Track Systems", Journal of defence science, 57(5), pp.739~753 (2007)
- 김재협, "적외선 영상에서 변위추정 및 SURF 특징을 이용한 표적 탐지 분류 기법", 한국컴퓨터정보학회논문지, 19(11), pp.43~52 (2014), 한국컴퓨터정보학회
- 이상준, "퍼지 마스크 필터를 이용한 잡음 제거", 한국컴퓨터정보학회논문지, 15(11), pp.41~45 (2010), 한국컴퓨터정보학회
- Yong-Whan Lee, "A study on the subset averaged median methods for gaussian noise reduction", Journal of KSCI, 4(2), pp.120~134 (1999)
- C. Tomasi, "Bilateral filtering for gray and color images", Proc. Int. Conf. Computer Vision, pp.839~846 (1998)
- M. Elad, "On the origin of the bilateral filter and ways to improve it", IEEE Trans. Image Processing, 11(10), pp.1141~1151 (2002)
- Xu Long, "임펄스 잡음 제거를 위한 개선된 적응 메디안 필터", 한국정보통신학회논문지, 17(4), pp.989~995 (2013), 한국정보통신학회[DOI]
- S. Paris, "A fast approximation of the bilateral filter using a signal processing approach", International Journal of Computer Vision, 81(1), pp.24~52 (2009)