Browse > Article
http://dx.doi.org/10.6109/jkiice.2018.22.6.867

Noise Removal Algorithm Considering High Frequency Components in AWGN Environments  

Cheon, Bong-Won (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.6, 2018 , pp. 867-873 More about this Journal
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.
Keywords
AWGN; High frequency component; Noise removal; Algorithm;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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.   DOI
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.   DOI
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.   DOI
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.   DOI
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.   DOI
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.   DOI