MATEC Web Conf.
Volume 232, 20182018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|Number of page(s)||5|
|Section||Algorithm Study and Mathematical Application|
|Published online||19 November 2018|
Non-local mean filtering algorithm based on deep learning
Computer School, Beijing Information Science &Technology University , Beijing 100101 , China
2 Software Engineering Research Center, Beijing Information Science &Technology University, Beijing 100101 , China
a Corresponding author: firstname.lastname@example.org
Aimed at the problem that the traditional image denoising algorithm is not effective in noise reduction, a new image denoising method is proposed. The method combines deep learning and non-local mean filtering algorithms to denoise the noisy image to obtain better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm, bilateral filtering algorithm and early non-local mean filtering algorithm, the noise reduction effect of the new algorithm is better than the traditional method and the peak signal to noise ratio is compared with the early non-local mean algorithm. The performance is better.
© The Authors, published by EDP Sciences, 2018
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