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A novel method of medical image enhancement based on wavelet decomposition

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Abstract

The efficiency of image enhancement algorithms depends on the quality and processing speed of image enhancement. There are many algorithms to implement image enhancement using wavelet theory. These algorithms have one thing in common: they all capture image details by decomposing low frequency sub-images. In fact, a lot of details in high-frequency sub-images are also found. Enlightened by the above-mentioned facts, a novel medical image enhancement method based on wavelet decomposition is proposed by adding details from the high-frequency sub-images and decomposing the image specially with ant-symmetric biorthogonal wavelet instead of some traditional wavelets. It not only improves the image enhancement, but also overcomes the shortcomings of large computation with faster computational speed and satisfies the real-time requirement in edge detection. Simulation experiments of mammographic images are implemented by Matlab with several different methods, the results show that the proposed method is superior to some popular methods, such as histogram equalization and wavelet nonlinear enhancement.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Key Laboratory of Complex System Optimization and Big Data Processing, Yulin Normal University, Yulin, 537000, China

    Qinli Zhang

  2. Health Science Center, Peking University, Peking, 100871, China

    Shuting Shen

  3. School of Science, Harbin Institute of Technology, Harbin, 150001, China

    Xiaoyun Su & Qi Guo

Authors
  1. Qinli Zhang
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  2. Shuting Shen
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  3. Xiaoyun Su
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  4. Qi Guo
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Correspondence to Qinli Zhang.

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Zhang, Q., Shen, S., Su, X. et al. A novel method of medical image enhancement based on wavelet decomposition. Aut. Control Comp. Sci. 51, 263–269 (2017). https://doi.org/10.3103/S0146411617040113

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  • DOI: https://doi.org/10.3103/S0146411617040113

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