Effect of using Genetic Algorithm to denoise MRI images corrupted with Rician Noise

@article{Misra2013EffectOU,
  title={Effect of using Genetic Algorithm to denoise MRI images corrupted with Rician Noise},
  author={Debajyoti Misra and Subhojit Sarker and Supriya Dhabal and Adity Ganguly},
  journal={2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)},
  year={2013},
  pages={146-151}
}
It is well known that Genetic Algorithm (GA) uses large number of solutions, instead of a single solution for searching. This brings an important part to the robustness of genetic algorithms. It improves the chance of reaching the global optimum and nearly unbiased optimization techniques for sampling a large solution space. GA adapted in image processing because of this unbiased stochastic sampling. In this paper GA is proposed for removal of Rician Noise. This kind of noise mainly occurs in… CONTINUE READING

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