Impulse noise reduction by variational method based on adaptive median filter
一种变分自适应中值滤波算法

To improve the performance of impulse noise reduction, a new variational method based on adaptive median filter was proposed. First, adaptive median filter was used to identify the impulse noise. Second, a cost function of the identified noisy pixels was designed, which was composed of data-fidelity term and edge-preserving regtdarization term. Third, variational method was used to get the optimal solution which minimize the cost function and restore the noisy pixels. Simulation results demonstrate that our proposed method is obviously better than standard median filter, switching median filter, variational method and adaptive median filter, and can erase as much as 90% impulse noise.