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An Improved Image Denoising Method Based on Wavelet Thresholding

机译:一种基于小波阈值的改进图像去噪方法

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VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT). These methods have disadvantage of using a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper, an improved method is proposed, that determines a threshold as well as neighbouring window size for every subband using its lengths. Our experimental results illustrate that the proposed approach is better than the existing ones, i.e., NeighShrink, ModineighShrink and VisuShrink in terms of peak signal-to-noise ratio (PSNR) i.e. visual quality of the image.
机译:VisuShrink,ModineighShrink和NeighShrink是基于离散小波变换(DWT)的高效图像去噪算法。这些方法具有在所有小波子带中使用次优通用阈值和相同的相邻窗口大小的缺点。在本文中,提出了一种改进的方法,该方法使用每个子带的长度来确定阈值以及每个子带的相邻窗口大小。我们的实验结果表明,在峰值信噪比(PSNR)(即图像的视觉质量)方面,所提出的方法比现有方法更好,即NeighShrink,ModineighShrink和VisuShrink。

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