Adaptive-neighborhood filtering of images corrupted by signal-dependent noise.

@article{Rangayyan1998AdaptiveneighborhoodFO,
  title={Adaptive-neighborhood filtering of images corrupted by signal-dependent noise.},
  author={Rangaraj M. Rangayyan and Mihai Ciuc and Farshad Faghih},
  journal={Applied optics},
  year={1998},
  volume={37 20},
  pages={4477-87}
}
In many image-processing applications the noise that corrupts the images is signal dependent, the most widely encountered types being multiplicative, Poisson, film-grain, and speckle noise. Their common feature is that the power of the noise is related to the brightness of the corrupted pixel. This results in brighter areas appearing to be noisier than darker areas. We propose a new adaptive-neighborhood approach to filtering images corrupted by signal-dependent noise. Instead of using fixed… CONTINUE READING