Noise Removal Based on Fourth Order Partial Differential Equation
Zhifeng Wang, Yandong Tang, Yingkui Du · 2008
Noise removal is an important image processing problem which has wide applications in different fields. The noise removal and edge preservation algorithm based on variational method and partial differential equation (PDE) for processing Magnetic Resonance images is proposed. The proposed method can avoid the blocky effects and false edges, compared with other second-order PDE method; moreover, it is realized easily. Experimental results illustrate the effectiveness of the model in the Magnetic Resonance image noise removal.