Image Denoiser Based on Combination of Particle Filter and Curvelet Transform

In this paper a novel Image denoising strategy is adapted that adequately consolidates a Particle Filter with Curvelet Wavelet Shrinkage to accomplish execution contrasted with other existing strategies. In particular, Particle Filter acts to smoother the rich component of noise while curvelet wavelet acts to shrink remaining segments of noise. The filter is defined by an ensemble of controlled stochastic system which is called Particles, and Curvelet Wavelet transform offers exact reconstruction, stability against perturbation. A few cases and contextual analyses are performed and it is concluded that proposed method provides better results compared to existing method and also that this method gives best performance at high noise density.