基于小波变换和自适应中值滤波的图像去噪

Image denoising based on wavelet transform and adaptive median filtering

小波图像去噪已经成为目前图像去噪的主要方法之一。该文尝试把小波变换与自适应中值滤波这两种去噪方法相结合,对同时含有高斯噪声和椒盐噪声的图像进行了去噪研究。实验结果表明,此方法在去除噪声的同时也较好地保留了原始图像的边缘信息,效果不仅优于单一的小波变换或普通中值滤波的方法,更优于将小波变换与普通中值滤波相结合的方法。

Wavelet image denoising has been well acknowledged as a major method of image denoising. This paper attempts to combine wavelet transform with adaptive median filtering, and discusses to reduce the image＇s Gaussian noises interspersed with salt and pepper noise. Experiments confirm that the method can diminish the noises while preserving the details of the original image. The result is better than that of wavelet transform or general median filtering, and even better than that of the method by combining wavelet transform with general median filtering.