Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Direction Information Concerned Algorithm for Removing Gaussian Noise in Images

  • Gao, Yinyu (Department of Control & Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control & Instrumentation Eng., Pukyong National University)
  • Received : 2011.10.07
  • Accepted : 2011.12.05
  • Published : 2011.12.31
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Abstract

In this paper an efficient algorithm is proposed to remove additive white Gaussian noise(AWGN) with edge preservation. A function is used to separate the filtering mask to two sets according to the direction information. Then, we calculate the mean and standard deviation of the pixels in each set. In order to preserve the details, we also compare standard deviations between the two sets to find out smaller one. Corrupted pixel is replaced by the mean of the filtering window's median value and the smaller set's mean value that the rate of change is faster than the other one. Experiment results show that the proposed algorithm outperforms with significant improvement in image quality than the conventional algorithms. The proposed method removes the Gaussian noise very effectively.

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References

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Cited by

  1. A Study on the Spatial Weighted Filter in AWGN Environment vol.17, pp.3, 2013, https://doi.org/10.6109/jkiice.2013.17.3.724