Journal of information and communication convergence engineering

  • 제9권6호
  • /
  • Pages.763-768
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  • 2011
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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Image Denoising using Adaptive Threshold Method in Wavelet Domain

  • Gao, Yinyu (Department of Control & Instrumentation Eng., Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control & Instrumentation Eng., Pukyong National University)
  • 투고 : 2011.11.04
  • 심사 : 2011.11.30
  • 발행 : 2011.12.31
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초록

Image denoising is a lively research field. Today the researches are focus on the wavelet domain especially using wavelet threshold method. We proposed an adaptive threshold method which considering the characteristic of different sub-band, the method is adaptive to each sub-band. Experiment results show that the proposed method extracts white Gaussian noise from original signals in each step scale and eliminates the noise effectively. In addition, the method also preserves the detail information of the original image, obtaining superior quality image with higher peak signal to noise ratio(PSNR).

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참고문헌

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  1. A Study on Improved Denoising Algorithm for Edge Preservation in AWGN Environments vol.16, pp.8, 2012, https://doi.org/10.6109/jkiice.2012.16.8.1773
  2. A Study of Electrical and Optical Method of Safety Standards for diagnosis of Power Facility using UV-IR Camera vol.27, pp.4, 2013, https://doi.org/10.5207/JIEIE.2013.27.4.054