Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Logistic Regression for Random Noise Removal in Image Deblurring

영상 디블러링에서의 임의 잡음 제거를 위한 로지스틱 회귀

  • Received : 2017.07.12
  • Accepted : 2017.09.28
  • Published : 2017.10.31
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Abstract

In this paper, we propose a machine learning method for random noise removal in image deblurring. The proposed method uses a logistic regression to select reliable data to use them, and, at the same time, to exclude data, which seem to be corrupted by random noise, in the deblurring process. The proposed method uses commonly available images as training data. Simulation results show an improved performance of the proposed method, as compared with the median filtering based reliable data selection method.

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References

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