@article{article_376895, title={Mixed Noise Removal with External Parameter in Image Denoising}, journal={International Journal of Engineering Research and Development}, volume={10}, pages={135–142}, year={2018}, DOI={10.29137/umagd.376895}, author={Gökrem, Levent and Erkan, Uğur}, keywords={Gaussian Noise,Image Denoising,Noise Removal,Image Enhancement}, abstract={<p class="Abstract"> <span lang="en-gb" style="font-size:10pt;line-height:200%;" xml:lang="en-gb">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. </span> </p> <p> </p>}, number={2}, publisher={Kirikkale University}