改进的阈值函数图像去噪方法

Mengtao Huang, Luomin Wang
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引用次数: 1

摘要

针对硬阈值函数的不连续问题以及软阈值函数中原始小波系数与估计系数的常偏差问题,提出了一种改进的阈值函数。该函数通过引入控制系数,改善了传统阈值函数的不足,具有一定的灵活性。实验结果表明,改进的小波阈值函数比传统的阈值函数具有更好的去除图像高斯噪声的效果。此外,图像的峰值信噪比(PSNR)和边缘保持指数(EPI)都得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved threshold function image denoising method
In this paper, an improved threshold function is proposed for the discontinuity problem of hard threshold function and the constant deviation of original wavelet coefficients and estimated coefficients in soft threshold function. This function improves the deficiency of traditional threshold function by introducing control coefficients, and the function have certain flexibility. The experimental results show that the improved wavelet threshold function has a better effect in removing image gaussian noise than traditional threshold function. Moreover, the PSNR(peak signal to noise ratio ) and EPI (edge retention index) values of the image are both improved.
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