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Proceedings Article

Study on adaptive thresholding technique of image denoising based on wavelet transform

[+] Author Affiliations
Xi'an Zhu, Xiao Xie

Beijing Information Science & Technology Univ. (China)

Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79972D (May 26, 2011); doi:10.1117/12.885339
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From Conference Volume 7997

  • Fourth International Seminar on Modern Cutting and Measurement Engineering
  • Jiezhi Xin; Lianqing Zhu; Zhongyu Wang
  • Beijing, China | December 10, 2010

abstract

It is studied in the paper that an adaptive soft and hard thresholding image denoising method, in which image pyramid decomposing is realized by wavelet transform, and the mean value, mid-value and root mean square value of different sub bands are calculated as thresholding. The image is added into different kinds and different intensities noise, and processed by different wavelet decomposing levels and thresholding selected algorithms, the total 27 kinds of thresholding combination schemes are completed in the research process. The SNR (signal noise ratio) and PSNR (peak signal noise ratio) of denoised image are compared and analyzed and benefited results are achieved. Furthermore, the algorithm in reference is realized by MATLAB program, the results of reference are compared with that of the paper to demonstrate the significance and correctness of the results in the paper.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Xi'an Zhu and Xiao Xie
"Study on adaptive thresholding technique of image denoising based on wavelet transform", Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79972D (May 26, 2011); doi:10.1117/12.885339; http://dx.doi.org/10.1117/12.885339


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