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图学学报

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多模图像联合非局部滤波快速算法

  

  • 出版日期:2016-02-26 发布日期:2016-02-26

Accelerated Multimodal Images Joint Non-local Filtering

  • Online:2016-02-26 Published:2016-02-26

摘要: 提出一种新的基于非局部均值的多模图像滤波方法。在该方法中,对于噪声图像
滤波采用非局部均值方法,其中对于噪声图像块之间灰度相似测度权重由另一幅图像引导计算。
实验结果表明,该方法比基于局部的图像去噪方法如双边滤波算法有更好地去噪效果。通过构
造联合积分图像对提出算法进行加速,与原始算法相比其显著提速两个数量级,加速算法的复
杂度不受滤波器大小影响,易于在并行系统中实现。

关键词: 图像去噪, 联合双边滤波, 非局部滤波, 积分图像

Abstract: In this paper, a novel non-local averaging based multimodal image filtering method is
provided. In the method, the mean average for filtering the noisy image is computed non-locally and
weights for average is jointly guided by the reference image taken from another imaging device. The
experiment results show that the proposed method is better than state of the art joint bilateral filter,
especially in the case of the periodic texture is involved in the images. Furthermore, an acceleration
algorithm is proposed by constructing integral histograms, speeding up by factor of about 2 order
compared with the brute-force method. In addition, the algorithm is independent of the size of the
filter, and easy to be implemented on parallel system.

Key words: image denoising, joint bilateral filter, non-local filter, integral image