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Image wavelet denoising using the robust local threshold

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Journal of Electronics (China)

Abstract

This paper suggests a scheme of image denoising based on two-dimensional discrete wavelet transform. The denoising algorithm is described with some operators. By thresholding the wavelet transform coefficients of noisy images, the original image can be reconstructed correctly. Different threshold selections and thresholding methods are discussed. A new robust local threshold scheme is proposed. Quantifying the performance of image denoising schemes by using the mean square error, the performance of the robust local threshold scheme is demonstrated and is compared with the universal threshold scheme. The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.

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Author information

Authors and Affiliations

  1. Automation College, Harbin Engineering University, 150001, Harbin

    Lin Kezheng, Zhou Hongyu & Li Dianpu

  2. Harbin University of Science and Technology, 150080, Harbin

    Zhou Hongyu

Authors
  1. Lin Kezheng
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  2. Zhou Hongyu
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  3. Li Dianpu
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Additional information

Supported by the National Natural Science Foundation of China(No. 59775070)

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Cite this article

Lin, K., Zhou, H. & Li, D. Image wavelet denoising using the robust local threshold. J. of Electron.(China) 19, 8–13 (2002). https://doi.org/10.1007/s11767-002-0002-6

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  • DOI: https://doi.org/10.1007/s11767-002-0002-6

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