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Paper Defects Image De-noising Algorithm Based on Holomorphic Filtering and Discrete Cosine Transform
  
DOI：10.11980/j.issn.0254-508X.2018.05.008
Key Words:discrete cosine transform （DCT）  holomorphic filtering  gaussian filtering  frequency domain
Fund Project:陕西省教育厅自然专项（17JK0645）；陕西省科技统筹创新工程计划项目（2012KTCQ01-19）；陕西省重点科技创新团队计划项目（2014KCT-15）。
Author NameAffiliation
QU Yun-hui1， 2，* 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021
2. Computer Teaching and Research Section， Xi’an Medical University， Xi’an， Shaanxi Province， 710021 
TANG Wei1 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 
WEN Hao1 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 
LEI Tao1 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 
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Abstract:Aiming at the problems of the light-source noise in the process of paper defeats collection，the paper analyzed the characteristics of the light source noise and proposes a de-noising Algorithm based on holomorphic filtering and DCT transform. Firstly， blocking the image; then， taking logarithm operation and DCT transform of each image block and transforming them to frequency domain. Next， Gaussian holomorphic filteringused to remove noise interference. Finally， IDCT transform and exponential operation are used to restore them to the spatial domain. The experimental results showed that the algorithm could effectively remove various kinds of light-source noise and enhance the paper defect area．
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