Research on adaptive threshold denoising method based on correlation
Liang Yuan · Journal of Harbin University of Commerce · 2013
In order to remove gaussian noise in images more effectively,an adaptive threshold denoising method based on correlation was proposed,this method improves defects of wavelet threshold denoising method and the denoising method based on wavelet coefficients correlation. In this paper,a new threshold function and improving the calculation method of amount of wavelet coefficients correlation was put forward,combined with the multi-dimension relevance judgment to deal with a few weak and not related noise in the image. Through compared with the traditional threshold denoising method,the improved threshold denoising method and the denoising method based on wavelet coefficients correlation,results showed that this method was more effective to remove the gaussian noise,and got higher peak signal-to-noise ratio.