| 基于变分混合模型同步实现图像去噪和反差增强 |
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| 引用本文： | 于远坡,殷宪震,潘振宽,蒋静.基于变分混合模型同步实现图像去噪和反差增强[J].青岛大学学报(自然科学版),2011(3):32-37. |
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| 作者姓名： | 于远坡 殷宪震 潘振宽 蒋静 |
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| 作者单位： | 青岛大学信息工程学院;中国科学院上海药物研究所; |
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| 摘 要： | 针对反差较低的且包含噪声的医学图像，依据图像直方图特点设计分段拉伸函数，并与基于梯度和拉普拉斯算子的图像去噪变分模型结合，建立新的变分模型，同步实现图像去噪和反差增强。该模型可有效消除图像光滑区域出现的阶梯效应，从而避免在图像增强过程中出现的假边界问题。同时，还为所提出的模型设计了Split—Bregman算法，以提高计算效率。最后通过实验对所提出的模型和算法的有效性进行了验证。
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| 关 键 词： | 图像去噪 变分方法 反差增强 偏微分方程 Split Bregman算法 |
Synchronization Method of Image Denoising and Contrast Enhancement Based on Mixed Variational Model |
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| YU Yuan-po,YIN Xian-zhen,PAN Zhen-kuan,JIANG Jing.Synchronization Method of Image Denoising and Contrast Enhancement Based on Mixed Variational Model[J].Journal of Qingdao University(Natural Science Edition),2011(3):32-37. |
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| Authors: | YU Yuan-po YIN Xian-zhen PAN Zhen-kuan JIANG Jing |
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| Institution: | YU Yuan-po1,YIN Xian-zhen2,PAN Zhen-kuan1,JIANG Jing1(1.College of Information Engineering,Qingdao University,Qingdao 266071,China,2.Shanghai Institute of Materia Medica,Chinese Academy of Sciences,Shanghai 201203,China) |
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| Abstract: | For the medical images with noises and low contrast,we propose a new variational model to realize image denoising and contrast enhancement combining the proposed piecewise stretching function based on histogram graph and the variational model using gradient and Laplacian.It can reduce the staircase effects in smooth regions and avoid the false boundary problem in the process of image enhancement.The Split Bregman algorithm of the model is designed in this paper to improve the efficiency.Numerical examples v... |
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| Keywords: | Image denoising Variational model Contrast enhancement Partial differential equations Split Bregman algorithm |
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