An Improved Image Denoising Algorithm Based on Partial Differential Equation
Dong Chan-cha · Journal of North University of China · 2014
Concerning the contradiction between edge- preserving and noise- suppressing in the process of image denoising,an improved image denoising method was proposed based on partial differential equation(PDE)model. Regularization and rank-ordered absolute differences were introduced into the proposed algorithm,which constructed a new diffusion coefficient combined with the model of Chao and Tsai. The method takes advantages of the regulation and rank-ordered absolute differences,so it can solve ill-posed problem of the equation and distinguish between noise and edges more effectively. Experimental results show that the proposed method can retain more information of details and get rid of noise better than the other common PDE models,and improve the SNR of image denoising.