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Combination of Total Variation and Robust Bilateral Filter in Image Denoising

机译:图像去噪中的总变化和鲁棒双边滤波器的组合

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This research paper proposes a image denoising algorithms by combining two well-known image denoising techniques: i.e. robust bilateral filter and total variation filter, to obtain a better result of image denoising compared to using an individual filter. From the experimental results on standard images data sets, it is shown that the proposed algorithm results in a better-quality image, both numerically and visually. The image denoising results are compared quantitatively in terms of peak signal to noise ratio (PSNR) and it can be seen that combination of robust bilateral filter and total variation filter results in an improved image as compare to only robust bilateral filter or only total variation filter.
机译:该研究论文通过组合两个众所周知的图像去噪技术来提出图像去噪算法:即稳健的双侧滤波器和总变化滤波器,与使用单独的过滤器相比,获得图像去噪的更好结果。从标准图像数据集的实验结果,示出所提出的算法导致数字和视觉上的更好质量的图像。在峰值信号的峰值信号(PSNR)方面定量地比较图像去噪结果,并且可以看出,鲁棒双边滤波器和总变化滤波器的组合导致改进的图像,以便仅与稳健的双边滤波器或仅总变化滤波器进行比较。

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