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

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Noise Removal Algorithm Considering High Frequency Components in AWGN Environments

AWGN 환경에서 고주파 성분을 고려한 잡음 제거 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 : 2018.03.06
  • Accepted : 2018.03.31
  • Published : 2018.06.30
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Abstract

Recently, interests in the field of image processing have increased with the increased demand for digital imaging devices. However, digital images are damaged by the noise generated by various causes during image processing. Generally in digital imaging devices, noise such as AWGN, etc. is generated and performance and reliability are deteriorated, and various researches are in progress to remove it. Accordingly in the present paper, an algorithm to protect the high frequency components of the images and to efficiently remove AWGN is proposed. The proposed algorithm calculates the final output by adjusting estimate values applied with Gaussian mask and weight values applied according to the local mask distribution. And for performance evaluation of the proposed algorithm, simulations were performed with the existing methods, and the characteristics were compared through PSNR and the processed, enlarged images.

최근 영상처리 분야는 디지털 영상장치들의 수요가 증대되면서 관심이 높아지고 있다. 그러나 디지털 영상은 영상을 처리하는 과정에서 다양한 원인으로 발생하는 잡음에 의해 훼손된다. 일반적으로 디지털 영상장치는 AWGN 등의 잡음이 발생하여 성능과 신뢰도를 저하하며 이를 제거하기 위한 다양한 연구가 진행되고 있다. 따라서 본 논문에서는 영상의 고주파 성분을 보호하고 AWGN을 효과적으로 제거하는 알고리즘을 제안하였다. 제안한 알고리즘은 가우시안 마스크를 적용한 추정치와 국부 마스크의 분포에 따라 적용된 가중치를 가감하여 최종 출력을 구한다. 그리고 제안한 알고리즘의 성능 평가를 위해 기존의 방법들과 시뮬레이션하였으며, PSNR과 처리한 확대 영상을 통해 특성을 비교하였다.

Keywords

References

  1. S. Y. Lee, J. K. Kim, J. W. Lee, P. Yuan, J. M. Ahn, "Analysis of Hierarchical Modulation Performance According to Hierarchical Modulation Factor(${\alpha}$) in AWGN," in Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Jeju: Korea, pp. 39-40, 2012.
  2. P. S. V. S. Sridhar, R. Caytiles, "Efficient Cloud Data Hosting Availability," Asia-pacific Journal of Convergent Research Interchange, HSST, ISSN : 2508-9080, vol. 3 no. 2, pp. 11-19, Jun. 2011. http://dx.doi.org/10.21742/APJCRI.2017.06.02.
  3. X. Lin, Y. Jiao, D. Zhao, "An Improved Gaussian Filter for Dynamic Positioning Ships With Colored Noises and Random Measurements Loss," Journal of IEEE Acces, vol. 6, pp. 6620-6629, Jan. 2018. https://doi.org/10.1109/ACCESS.2018.2789336
  4. S. P. Lyu, "Planar Curve Smoothing with Individual Weighted Averaging," Journal of the Korea Institute of Information and Communication Engineering, vol. 44, no. 11, pp. 1194-1208, Nov. 2017.
  5. S. I. Kwon, N. H. Kim, "A Study on Noise Removal using Modified Edge Detection in AWGN Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 7, pp. 1342-1348, Jul. 2017. https://doi.org/10.6109/JKIICE.2017.21.7.1342
  6. J. J. Madhura, D. R. Ramesh Babu, "An effective hybrid filter for the removal of Gaussian-impulsive noise in computed tomography images," in International Conference on Advances in Computing, Communications and Informatics, Udupi, India, pp. 1815-1820, 2017.
  7. A. Ulu, B. Dizdaroglu, "Automated removal of Gaussian noise in color images," in Signal Processing and Communications Applications Conference, Antalya, Turkey, pp. 1-4, 2017.
  8. X. Long, N. H. Kim, "An Improved Weighted Filter for AWGN Removal," Journal of the Korea Institute of Information and Communication Engineering, vol. 17, no. 5, pp. 1227-1232, May 2013. https://doi.org/10.6109/jkiice.2013.17.5.1227
  9. S. I. Kwon, N. H. Kim, "A Study on Noise Removal using Modified Edge Detection in AWGN Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 7, pp. 1342-1348, Jul. 2017. https://doi.org/10.6109/JKIICE.2017.21.7.1342
  10. G. Yinyu, N. H. Kim, "The Modified Mean Filter to Remove AWGN," Journal of the Korea Institute of Information and Communication Engineering, vol. 15, no. 5, pp. 1177-1182, May 2011. https://doi.org/10.6109/jkiice.2011.15.5.1177
  11. X. Long, N. H. Kim, "A Study on Image Restoration Filter in AWGN Environments," Journal of the Korea Institute of Information and Communication Engineering, vol. 18, no. 4, pp. 949-956, Apr. 2014. https://doi.org/10.6109/jkiice.2014.18.4.949