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.
Gaussian Noise Image Denoising Noise Removal Image Enhancement
Birincil Dil | İngilizce |
---|---|
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 29 Haziran 2018 |
Gönderilme Tarihi | 10 Ocak 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 10 Sayı: 2 |