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표준편차 및 3차 스플라인 보간법을 이용한 영상 복원 알고리즘에 관한 연구

A Study on Image Restoration Algorithm using Standard Deviation and Cubic Spline Interpolation

  • Kwon, Se-Ik (Dept. of Control and Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
  • 투고 : 2017.05.31
  • 심사 : 2017.06.23
  • 발행 : 2017.09.30

초록

영상을 획득 또는 전송하는 과정에서 다양한 잡음에 의해 영상의 열화가 발생하고 있으며, 이러한 영상에 첨가되는 잡음을 제거하기 위한 연구가 공간 영역에서 활발하게 진행되고 있다. 본 논문에서는 영상에 첨가된 복합잡음을 제거하기 위해 잡음의 종류에 따라 처리하는 스위칭 필터를 제안하였다. 잡음 판단을 통해 국부 마스크의 중심화소가 AWGN에 훼손된 경우, 국부 마스크의 표준편차에 임계값을 적용하여 가중치 마스크의 가중치를 다르게 적용하여 처리하고, salt and pepper 잡음에 훼손된 경우, 국부 마스크를 네 방향으로 세분하여 각 방향의 salt and pepper 잡음이 가장 적은 방향에 대해 3차 스플라인 보간법을 적용하여 처리하는 알고리즘을 제안하였다. 그리고 제안한 필터 알고리즘의 성능을 평가하기 위해 PSNR을 사용하여 기존의 방법들과 제안한 필터 알고리즘을 각각 비교하였다.

In the process of obtaining and transmitting image, there is degradation of image due to various noise, and there have been many active studies ongoing to remove the noise added on the images. This thesis has proposed a switching filter processing by the types of noise in order to remove the complex noise added on images. When the center value of local mask is damaged by AWGN based on the noise judgment, the threshold value is applied on standard deviation of local mask to process by applying different weight of weighted mask, and if the image is damaged by the salt and pepper noise, the local mask is subdivided into 4 directions, and processed by applying cubic spine interpolation in the direction with the least slat and pepper noise. Also, in order to evaluate the performance of proposed filter algorithm, the study conducted comparison among the existing methods and proposed filter using PSNR.

키워드

참고문헌

  1. R. C. Gonzalez and R. E. woods, Digital Image Processing, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2008.
  2. K. N. Plataniotis and A. N. Venetsanopoulos, Color Image Processing and Applications, 1st ed. Berlin, Germany: Springer, 2000.
  3. X. Long and N. H. Kim, "Modified Median Filter for Impulse Noise Removal," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 2, pp. 461-466, Feb. 2013. https://doi.org/10.6109/jkiice.2013.17.2.461
  4. S. I. Kwon and N. H. Kim, "A Study on Modified Spatial Weighted Filter in Mixed Noise Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 19, no. 1, pp. 237-243, Jan. 2015. https://doi.org/10.6109/jkiice.2015.19.1.237
  5. R. Oten and R. J. P. de Figueiredo, "Adaptive Alpha-Trimmed Mean Filters Under Deviations From Assumed Noise Model," IEEE Trans, Image Processing, vol. 13, no. 5, pp. 627-639, May 2004. https://doi.org/10.1109/TIP.2003.821115
  6. J. Wang and J. Hong, "A New Selt-Adaptive Weighted Filter for Removing Noise in Infrared Images," Information Engineering and Computer Science, Wuhan, China, pp.1-4, 2009.
  7. X. Long and N. H. Kim, "An Image Restoration using Nonlinear Filter in Mixed Noise Environment," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 10, pp. 2447-2453, Oct. 2013. https://doi.org/10.6109/jkiice.2013.17.10.2447
  8. X. Long and N. H. Kim, "A Study on Image Restoration Filter in Mixed Nise Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 18, no. 8, pp. 2001-2007, Aug. 2014. https://doi.org/10.6109/jkiice.2014.18.8.2001
  9. S. I. Kwon and N. H. Kim, "Salt and Pepper Noise Removal using Histogram," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 2, pp. 394-400, Feb. 2016. https://doi.org/10.6109/jkiice.2016.20.2.394
  10. S. I. Kwon and N. H. Kim, "Noise Removal using Modified Switching Filter in Mixed Noise Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 6, pp. 1215-1220, Jun. 2016. https://doi.org/10.6109/jkiice.2016.20.6.1215
  11. G. Yinyu and N. H. Kim, "A Study on Mixed Filter Algorithm for Restoration of Image Corrupted by AWGN," Journal of the Korea Institute of Information and Communication Engineering, vol. 16, no. 5, pp. 1064-1070, May 2012. https://doi.org/10.6109/jkiice.2012.16.5.1064
  12. G. Yinyu and N. H. Kim, "The Modified Nonlinear Filter to Remove Impulse Noise," Journal of the Korea Institute of Information and Communication Engineering, vol. 15, no. 4, pp. 973-979, Apr. 2011. https://doi.org/10.6109/jkiice.2011.15.4.973
  13. G. Yinyu and N. H. Kim, "A Study on Improved Denoising Algorithm for Edge Preservation in AWGN Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 16, no. 8, pp. 1773-1778, Aug. 2012. https://doi.org/10.6109/jkiice.2012.16.8.1773
  14. S. W. Hong and N. H. Kim, "A Study on Removal of Salt and Pepper Noise using Deformable Masks Depending on the Noise Density," Journal of the Korea Institute of Information and Communication Engineering, vol. 19, no. 9, pp. 2173-2179, Sep. 2015. https://doi.org/10.6109/jkiice.2015.19.9.2173