结合平稳小波变换和形态学的图像去噪算法

Image de-noising algorithm based on stationary wavelet transform and morphology

图像噪声去除是否有效将直接影响后续图像处理的质量,为了在消除噪声的同时保持图像边缘细节,提出一种结合平稳小波变换及形态学处理的新算法。该算法利用平稳小波相位不变性的特点,充分考虑小波系数的层内相关性;同时结合形态学的方法对图像的边缘信息进行估计;最后通过选择性质相似的区域进行阈值去噪。实验结果表明,该方法在降低了图像噪声的同时又有较好的视觉效果。

Image noise will degrade image quality and subsequent image processing will be affected. To eliminate noise while keeping image edge details, a new algorithm was proposed. It took full consideration of wavelet coefficients correlation using the phase invariance, and estimated the skeleton information in reference to morphology, and performed de-noising based on the selected congenial and irregular regions. The experimental results demonstrate that the proposed algorithm can keep details of images as well as reduce image noises.