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Enhancing Low-Contrast Image by Separately Processing Illuminance and Reflectance

机译:通过分别处理照度和反射率来增强低对比度图像

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摘要

A simple method for enhancing low-contrast gray image is proposed. The method decomposes an image into the layers of illuminance and reflectance, by using an edge-preserving low-pass filter, and separately enhances each layer. Finally, the enhanced results of these two layers are recomposed as the output. Experiment shows the good results on real images.
机译:提出了一种增强低对比度灰度图像的简单方法。该方法通过使用保留边缘的低通滤波器将图像分解为照度和反射层,并分别增强每个层。最后,将这两层的增强结果重组为输出。实验表明在真实图像上效果良好。

著录项

  • 来源
    《Visual information processing XIX》|2010年|P.77010T.1-77010T.6|共6页
  • 会议地点 Orlando FL(US)
  • 作者单位

    Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China 430074;

    rnInstitute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China 430074 Department of Mathematics and Physics Wuhan Polytechnic University, Wuhan, China 430023;

    rnInstitute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China 430074;

    rnDepartment of Mathematics and Physics Wuhan Polytechnic University, Wuhan, China 430023;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 图像信号处理;信息处理(信息加工);
  • 关键词

    low-contrast enhancement; illuminace; reflectance; retinex theory;

    机译:低对比度增强;照亮反射率Retinex理论;

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