Robust image denoising with an improved wavelet threshold method

Hong Zhang, Hui Liu, Zhenhong Shang, Ruixin Li
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引用次数: 2

Abstract

This paper proposed an improved threshold function and threshold estimation method for analyzing the characteristics of the wavelet threshold denoising. Because hard threshold denoising makes boundaries fuzzy and soft threshold denoising has Gibbs phenomenon, the new threshold function and estimation method have better adaptive. Results show that the improved method can effectively remove the white noise, the improved method is better than the soft, hard threshold denoising.
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改进的小波阈值鲁棒图像去噪方法
针对小波阈值去噪的特点,提出了一种改进的阈值函数和阈值估计方法。由于硬阈值去噪使边界模糊,软阈值去噪存在吉布斯现象,因此新的阈值函数和估计方法具有较好的自适应性。结果表明,改进后的方法能有效去除白噪声,优于软、硬阈值去噪方法。
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