Comparison and Research on Several Image Denoising Methods
Aiming at the problem that the image would be affected and disturbed by many kinds of noises in the process of transmission, with MATLAB software platform, the qualitative and quantitative analyses of image denoising are done, and several image denoising methods are discussed and compared. The experimental results indicate that the median denoising method is better for images containing salt and pepper noise, while the spatial low-pass filtering (Gauss template) denoising method better for the image with Gauss noise, and the wavelet denoising method better for speckle noise images. It can be seen that for the whole three kinds of noise, the image denoising method of wavelet transform is more stable than other denoising methods for its good time-frequency and multi-resolution characteristics. Wavelet denoising method is suitable for a variety of noise, and has better denoising effect than the traditional denoising algorithms.
NETL
NSTL
万方数据
维普
