Abstract：A new improved algorithm for image denoising was proposed by analyzing the Total Variational (TV) model. According to the viewpoint of Maximum A Posteriori (MAP) and Markov Random Field (MRF) theory, a generalized variational functional model was deduced. And the Lagrange multiplier λ used for balancing the data fidelity term and regularized term was adaptively improved. An edge preserving potential function was adopted, which had good robustness to noises; finally an iterative algorithm was exploited to solve the energy functional combining weighted gradient descent flow and semi-point scheme. Experimental results show that the proposed model has good performance in image denoising. It is obviously superior to the conventional variational model in both visual effect and PSNR.
2009, Vol. 29 
