A New Denoising Algorithm Based on Extreme Learning Machine

نویسندگان

  • Zhiyong Fan
  • Quansen Sun
  • Zexuan Ji
  • Feng Ruan
  • Jin Wang
چکیده

A new image denoising algorithm is proposed. GA-ELM algorithm uses genetic algorithm (GA) to decide weights in the Extreme learning Machine algorithm. It has better global optimal characteristics than traditional optimal algorithm. In this paper, we used GA-ELM to do image denoising researching work. Firstly, this paper uses training samples to train GA-ELM as the noise detector. Then, we utilize the well-trained GA-ELM to recognize noise pixels in target image. And at last, an adaptive weighted average algorithm is used to recover noise pixels recognized by GA-ELM. Experiment data shows that this algorithm has better performance than other denoising algorithm.

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تاریخ انتشار 2015