Journal of Information Processing Systems

  • 제1권1호
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  • Pages.32-35
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  • 2005
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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Wavelet-based Image Denoising with Optimal Filter

  • Lee, Yong-Hwan (Dept. of Electronics and Computer Engineering, Dankook University) ;
  • Rhee, Sang-Burm (Dept. of Electronics and Computer Engineering, Dankook University)
  • 발행 : 2005.12.01
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초록

Image denoising is basic work for image processing, analysis and computer vision. This paper proposes a novel algorithm based on wavelet threshold for image denoising, which is combined with the linear CLS (Constrained Least Squares) filtering and thresholding methods in the transform domain. We demonstrated through simulations with images contaminated by white Gaussian noise that our scheme exhibits better performance in both PSNR (Peak Signal-to-Noise Ratio) and visual effect.

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참고문헌

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피인용 문헌

  1. Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising vol.1, pp.1, 2015, https://doi.org/10.3390/jimaging1010060