Yerel olmayan ortalama ve toplam deǧişim kullanilarak imge gürültü temizleme

Translated title of the contribution: Image denoising by using non-local means and Total Variation

Metin Ertas, Aydin Akan, Isa Yildirim, Mustafa Kamasak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Recently, medical modalities such as low dose CT, MRI and tomosynthesis have focused on generating noise-free images by using fewer measurements. However acquiring or using less data to reconstruct an image increases the noise level in the image. Thus, image denoising has been one of the most active research areas due to the noise existence in most medical imaging modalities. Due to its virtue of edge preserving, Total Variation (TV) has been actively used in medical imaging. Non-Local Means has recently been proposed as a filtering to suppress the Gaussian noise and preserve fine details in the image. In this study, the total variation (TV) minimization, is combined with Non-Local Means (NLM) filtering to increase the noise reduction. Visual and numerical results show that an important improvement in image denoising has been achieved in the sense of Structure Similarity (SSIM) and RMSE. The optimum NLM filtering parameters selection has also been studied to increase the performance the proposed method.

Translated title of the contributionImage denoising by using non-local means and Total Variation
Original languageTurkish
Title of host publication2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
PublisherIEEE Computer Society
Pages2122-2125
Number of pages4
ISBN (Print)9781479948741
DOIs
Publication statusPublished - 2014
Event2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Duration: 23 Apr 201425 Apr 2014

Publication series

Name2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

Conference

Conference2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Country/TerritoryTurkey
CityTrabzon
Period23/04/1425/04/14

Fingerprint

Dive into the research topics of 'Image denoising by using non-local means and Total Variation'. Together they form a unique fingerprint.

Cite this