改进小波阈值图像去噪算法

图像去噪问题一直是图像处理领域关注的问题之一。在图像去噪过程中，由于软阈值函数获得的去噪估计系数与原小波系数具有的恒定差，进而影响了重建图像的质量。为了有效地解决这一问题，在软阈值函数的基础上，本文提出了一种新的阈值函数用于图像的去噪重建。同时，新提出的阈值函数也有效地解决了硬阈值函数的不连续性问题。为了增加新阈值函数的灵活性，新阈值函数中添加了两个调节因子。实验结果表明，本文的阈值函数优于经典的软、硬阈值函数，有效地解决了软、硬阈值函数存在的缺陷，获得的重建图像质量和峰值信噪比有显著提高。

Improved Wavelet Threshold Algorithm for Image Denoising

Image denoising is one of the widely discussed topics in the field of image processing. In image denoising, there is an invariable dispersion between the denoising estimated coefficients and the decomposed wavelet coefficients in the soft threshold function, which affects the quality of reconstructed image. To solve this problem, a new threshold function based on soft threshold function is proposed in this paper. At the same time, the new threshold function can solve the discontinuous of the hard threshold function. To increase the flexibility of the new threshold function, two adjusting factors are added. The experimental analysis shows that new threshold function is superior to the classical soft threshold and hard threshold, which effectively solves the defects of soft and hard threshold. The quality and peak signal to noise ratio of the reconstructed images obtained by the new threshold function have significant improvements.