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

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Image Restoration for Edge Preserving in Mixed Noise Environment

복합잡음 환경에서 에지 보존을 위한 영상복원

  • Long, Xu (Department of Control and Instrumentation Engineering, Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control and Instrumentation Engineering, Pukyong National University)
  • Received : 2013.12.06
  • Accepted : 2014.01.13
  • Published : 2014.03.31
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Abstract

Digital processing technologies are being studied in various areas of image compression, recognition and recovery. However, image deterioration still occurs due to the noises in the process of image acquisition, storage and transmission. Generally in the typical noises which are included in the images, there are Gaussian noise and the mixed noise where the Gaussian noise and impulse noise are overlapped and in order to remove these noises, various researches are being executed. In order to preserve the edge and effectively remove mixed noises, image recovery filter algorithm was suggested in this study which sets and processes the adaptive weight using the median values and average values after noise judgment. Additionally, existing methods were compared through simulations and PSNR(peak signal to noise ratio) was used as a judgment standard.

디지털 영상처리 기술은 영상의 압축, 인식 그리고 복원 등 많은 분야에서 연구가 진행되고 있다. 그러나 여전히 영상의 획득, 저장 및 전송하는 과정에서 잡음에 의해 영상의 열화가 발생하고 있다. 일반적으로 영상에 첨가되는 대표적인 잡음으로는 가우시안 잡음, 임펄스 잡음, 가우시안 및 임펄스 잡음이 중첩된 복합잡음 등이 있으며, 이러한 복합잡음을 제거하기 위해 다양한 연구가 진행되고 있다. 본 논문에서는 에지를 보존하고 복합잡음을 제거하기 위하여, 잡음 판단을 거친 후, 화소집합의 메디안값 및 평균값에 의해 적응 가중치를 설정하여 처리하는 영상복원 필터 알고리즘을 제안하였다. 그리고 시뮬레이션을 통해 기존의 방법들과 비교하였으며, 판단의 기준으로 PSNR(peak signal to noise ratio)을 사용하였다.

Keywords

References

  1. R. C. Gonzalez and R.E. woods, Eds., Digiral Image Processing, Prentice Hall, 2007.
  2. Hwang, H., Haddad R. A., "'Adaptive Median Filters: New Algorithms and Results", IEEE Trans. Image Process, vol. 4, no. 4, pp. 499-502, Apr., 1995. https://doi.org/10.1109/83.370679
  3. Wang, Z., Zhang, D., "Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images", IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process, vol. 46, no. 1, pp. 78-80, Jan., 1999. https://doi.org/10.1109/82.749102
  4. D.. S. Lalush, "Binary Encoding of Multiplexed Images in Mixed Noise", IEEE Trans. on Medical Imaging, vol. 27, no. 9, pp. 1323-1332, Sep., 2008. and Communication Sciences Conference, pp. 463-466, 2008. https://doi.org/10.1109/TMI.2008.922697
  5. Gao Yinyu and Nam-Ho Kim, "A Study on Image Restoration for Removing Mixed noise while Considering Edge Information", International Journal of KIICE, vol. 15, no. 10, pp. 2239-2246, Oct., 2011.
  6. D. Baljozovic, B. Kovacevic, A. Baljozovic, "Mixed Noise Removal Filter for Multi-Channel Images based on Half-Space Deepest Location", Image Processing, IET, vol. 7, no. 4, pp. 310-323, June, 2013. https://doi.org/10.1049/iet-ipr.2012.0105
  7. Kuk-Seung Kim, Kyung-Hyo Lee, Nam-Ho Kim, "A Study on Robust Median Filter in Impulse Noise Environment", Proceedings of the Korean Institute of Information and Communication Sciences Conference, pp. 463-466, 2008.
  8. Smail Akkoul, Roger Ledee, Remy Leconge, and Rachid Harbaao, "A New Adaptive Switching Median Filter", IEEE Signal Processing Letters, vol. 17, no. 6, pp. 587-590, June, 2010. https://doi.org/10.1109/LSP.2010.2048646
  9. T. Chen and H. R. Wu, "Adaptive Impulse Detection using Center Weighted Median Filters". IEEE Signal Processing Letters, vol 8, no. 1, pp. 1-3, Jan., 2001. https://doi.org/10.1109/97.889633
  10. A. Fabijanska, D. Sankowski, "Noise Adaptive Switching Median-based Filter for Impulse Noise Removal from Extremely Corrupted Images", Image Processing, IET, vol. 7, no. 5, pp. 472-480, Aug., 2011.
  11. Gao Yinyu and Nam-Ho Kim, " The Modified Nonlinear Filter to Remove Impulse Noise", Journal of KIICE, vol. 15, no. 4, pp. 973-979, Apr., 2011.
  12. Zhou, Y.Y., Ye, Z.F., Huang, J.J, "Improved Decisionbased Detail-Preserving Variational Method for Removal of Random-Valued Impulse Noise," Published in IET Image Processing, vol. 6, no. 7, pp. 978-985, May, 2012.
  13. Y. Li, L. X. Shen, D. Dai, and B. Suter, "Framelet Algorithms for De-blurring Images Corrupted by Impulse plus Gaussian Noise," IEEE Trans. on Image Process., vol. 20, no. 7, pp. 1822-1837, July, 2011. https://doi.org/10.1109/TIP.2010.2103950
  14. Jian Wu and Chen Tang, "PDE-Based Random-Valued Impulse Noise Removal Based on New Class of Controlling Functions" IEEE Trans. Image Process, vol. 20, no. 9, pp. 2428-2438, Sep., 2011. https://doi.org/10.1109/TIP.2011.2131664
  15. He Changwei, Liu Yingxia, Ren Wenjie and Wang Xin, "Wavelet De-noising based on Multistage Median Filtering", Journal of Computer Application, vol. 27, no. 9, pp. 2117-2119, Sep., 2007.
  16. K. Bodduna, R. Siddavatam, "A Novel Algorithm for Detection and Removal of Random Valued Impulse Noise using Cardinal Splines", India Conference (INDICON), 2012 Annual IEEE, pp. 1003-1008, Dec., 2012.
  17. S. J. Ko and Y. H. Lee, "Center Weighted Median Filters and Their Applications to Image Enhancement", IEEE Transactions, on Circuits and Systems, vol. 38, no. 9, pp. 984-993, Sep., 1991. https://doi.org/10.1109/31.83870
  18. RChan R.H., Hu C., Nikolova M.,"An Iterative Procedure for Removing Random-Valued Impulse Noise", IEEE Signal Processing Letters, vol. 11, no. 12, pp. 921-924, Dec., 2004 https://doi.org/10.1109/LSP.2004.838190
  19. Zhu Lin, "A Non-local Means based Adaptive De-noising Framework for Mixed Image Noise Removalenter Weighted Median Filters and Their Applications to Image Enhancement", 2013 20th IEEE International Conference on Image Processing (ICIP), pp. 454-458, Sep., 2013.
  20. Jian Zhang, Ruiqin Xiong, Chen Zhao, Siwei Ma, and Debin Zhao, "Exploiting Image Local and Non-local Consistency for Mixed Gaussian-Impulse Noise Removal", 2012 IEEE International Conference on Multimedia and Expo (ICME), pp. 592-597, July, 2012.
  21. Xu Long and Nam-Ho Kim, "An Improved Adaptive Median Filter for Impulse Noise Removal", Journal of KIICE, vol. 17, no. 4, pp. 989-995, Apr., 2012.

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