一种OCT 图像去噪的原始- 对偶算法
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A Primal-Dual Algorithm for OCT Image Denoising
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    摘要:

    本文针对OCT图像噪声的特点,考虑一般的鞍点结构,提出一种原始-对偶算法,对OCT图像进行降噪处理。在对散斑噪声模型取对数处理之后,结合加性噪声的特点,采用原始-对偶结构提出算法,运算较为简单,容易编程实现,文中实验与均值滤波、半软阈值方法进行比较,结果表明,该算法在有效去除噪声的同时较好地保留了OCT图像中的重要细节信息,使图像的细节部分清晰。该算法可有效地去除OCT图像散斑噪声,提高图像的质量,同时文章建立的一般模型可推广到图像分割、目标识别和运动估计等图像处理领域。

    Abstract:

    Considering the OCT image noise characteristics and the general structure of the saddle point, this paper proposes a primal-dual algorithm for OCT image noise reduction. After incorporating the log of the speckle noise model, the primal-dual structure is used, which is easy to implement. From our experiments, this algorithm is compared with the mean filter and semisoft shrinkage methods, and it shows that noises in OCT images were removed and important details were preserved simultaneously. The proposed algorithm reduced the speckle noise in OCT images effectively and improved the quality of the images. At the same time, the wide applicability of the proposed algorithm was demonstrated on image segmentation, target recognition and motion estimation.

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引文格式
李济舟,杨余飞,王立科,等.一种OCT 图像去噪的原始- 对偶算法 [J].集成技术,2012,1(2):61-64

Citing format
LI Ji-zhou, YANG Yu-fei, WANG Li-ke, et al. A Primal-Dual Algorithm for OCT Image Denoising[J]. Journal of Integration Technology,2012,1(2):61-64

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  • 在线发布日期: 2012-11-20
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