A wavelet-based denoising method for color image of mobile phone

In modern society, people´s requirement of mobile phone camera is higher and higher, its image denoising method is also becoming the focus of attention. In this paper, starting from the actual requirements of mobile phone image denoising, an adaptive mobile phone image denoising method based on bivariate shrinkage function was proposed. Firstly, the actual image noise was made similar to the Gaussian noise by down sampling process, and then a kind of adaptive noise variance of bivariate shrinkage function based on Bayesian denoising method was put forward to estimate variance of the down sampled image. Finally, the denoised image was grayed to further eliminate the noise in the flat areas. Simulation and actual experimental results showed that the method of this paper can get better denoising effect compared with the existing mainstream methods.