A novel algorithm for detection and removal of random valued impulse noise using cardinal splines

This work proposes a faster and an efficient way to remove random valued impulse noise and also the edge-preserving regularization of the henceforth obtained image. In this paper, we propose a two phase mechanism where the noisy pixels are identified and removed in the first phase and only these noisy pixels are involved in cardinal spline edge regularization process in the second phase. Promising results were found even for Noise levels as high as 60% with the proposed algorithm. The results were found to be much better than the previously proposed nonlinear filters or regularization methods both in terms of noise removal as well as edge regularization.