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An efficient approach for image denoising based on edge-aware bilateral filter

机译:基于边缘感知双边滤波器的图像去噪有效方法

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Most of the image denoising algorithms work to reduce maximum amount of noise and also try to preserve sharp edges. This paper introduces a new form of bilateral filter, improving image denoising by introducing kernel based on edge detection algorithm. The proposed method applies pre conceptualized bilateral filtering along with Robert edge detection kernel. Influence of salt and pepper type of noise is reduced by the new approach slightly better than other filtering methods. Results of the experiment gave a practical explanation that performance of the proposed method is competitive with the standard bilateral filter. Further the performance evaluation of proposed method is evaluated with state of art quality matrices already present in the literature.
机译:大多数图像去噪算法都在努力减少最大的噪声量,并尝试保留锐利的边缘。本文介绍了一种新的双边滤波器形式,通过引入基于边缘检测算法的核来改善图像去噪。所提出的方法将预先概念化的双边滤波与罗伯特边缘检测内核一起应用。新方法降低了盐和胡椒类噪声的影响,其效果比其他滤波方法稍好。实验结果给出了一种实用的解释,表明该方法的性能与标准的双边过滤器相比具有竞争力。此外,使用文献中已经存在的最新质量矩阵对提出的方法的性能进行评估。

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