A New Denoising Algorithm Based on Extreme Learning Machine

Abstract

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 de- tector. 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 re- cover noise pixels recognized by GA-ELM. Experiment data shows that this al- gorithm has better performance than other denoising algorithm.