Simulation of a hybrid model for image denoising

We propose a new model for image denoising which is a hybrid of the total variation model and the Laplacian mean-curvature model. An efficient numerical procedure to compute the hybrid model is also presented. The hybrid model and its computational procedure introduce a number of parameters. As a preliminary step to the synthesis of a method for selecting optimal parameters, the hybrid model was simulated on a number of known images with synthetically added noise. The parallel simulation code was easily composed from existing serial code and a dynamic load balancing tool. The estimated parallel efficiency of the simulation is in excess of 96% on 32 processors of a general-purpose Linux cluster.