Mixed Noise Removal with External Parameter in Image Denoising

Year 2018, Volume: 10 Issue: 2, 135 - 142, 29.06.2018

Levent Gökrem Uğur Erkan

https://doi.org/10.29137/umagd.376895

Abstract

In this study,
a new method has been developed on noise removal, one of the most important parts
in image processing. In particular, a new noise removal filter has been
developed to removes noise from images the mix of µ and σ values. In this
method, a new approach is proposed to remove noise when μ value increases while
σ value is constant. The filter has particularly proven to be more successful
on all of µ values. PSNR have been used to compare the results of the study.
The newly developed method has been compared with the median, wiener2, Bayesian
shrink, bilateral, median+bilateral, BM3D, KSVD methods. For example, when
µ-0.10 and σ-0.01 added to Lena image, other algorithms’ PSNR results are
19.23-19.35, 18.90, 18.73, 19.60, 19.81, 19.70 while they are 27.06 in our new
method.

Keywords

Gaussian Noise, Image Denoising, Noise Removal, Image Enhancement

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