Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Study on Wavelet-based Image Denoising Using a Modified Adaptive Thresholding Method

  • Yinyu, Gao (Department of Control & Instrumentation Engineering, Pukyong National University) ;
  • Kim, Nam-Ho (Department of Control & Instrumentation Engineering, Pukyong National University)
  • Received : 2011.12.28
  • Accepted : 2012.01.24
  • Published : 2012.03.31
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Abstract

Thedenoising of a natural image corrupted by Gaussian noise is a long established problem in signal or image processing. Today the research is focus on the wavelet domain, especially using the wavelet threshold method. In this paper, a waveletbased image denoising modified adaptive thresholding method is proposed. The proposed method computes thethreshold adaptively based on the scale level and adaptively estimates wavelet coefficients by using a modified thresholding function that considers the dependency between the parent coefficient and child coefficient and the soft thresholding function at different scales. Experimental results show that the proposed method provides high peak signal-to-noise ratio results and preserves the detailed information of the original image well, resulting in a superior quality image.

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References

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