A COMPARISON STUDY FOR IMAGE DENOISING

Muhammet Fatih ASLAN; Akif DURDU; Kadir SABANCİ

doi:https://doi.org/10.36222/ejt.623068

Makale detayları

A COMPARISON STUDY FOR IMAGE DENOISING

Yazarlar:

Muhammet Fatih ASLAN | Akif DURDU | Kadir SABANCİ

Yayıncı:

Hibetullah KILIÇ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.145-150

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000425593

eISSN:

2536-5134

pISSN:

2536-5010

DOI:

https://doi.org/10.36222/ejt.623068

Özet:

 


Image denoising is the detection and
removal of outliers in a image. A measured analog signal is affected by both
the device from which the measurement is performed and the noise from the
environment. Various types of noise are available. With the developed noise
reduction methods, it is tried to eliminate the existing noise. In this study,
Bandelet Transform and Bilateral Filter denoising methods are compared. Both
methods have been used to eliminate noise of different types and different
rates added to the benchmark and retina images. Bandelet transform is performed
for both hard and soft threshold. Peak Signal-to-Noise Ratio, Mean Squared
Error, Mean Structural Similarity and Feature Similarity Index are used as a
comparison method.




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Makale detayları

A COMPARISON STUDY FOR IMAGE DENOISING

Yazarlar: Muhammet Fatih ASLAN | Akif DURDU | Kadir SABANCİ

Yayıncı: Hibetullah KILIÇ

Ana Başlıklar: Uygulamalı fizik

Dergi: European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.145-150

Belge Tipi: Makale

Yayın Tarihi: 12/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000425593

eISSN: 2536-5134

pISSN: 2536-5010

DOI: https://doi.org/10.36222/ejt.623068

Sayı

Yazarlar:

Muhammet Fatih ASLAN | Akif DURDU | Kadir SABANCİ

Yayıncı:

Hibetullah KILIÇ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

European Journal of Technique (EJT) 2019 Vol.9 Issue 2, pp.145-150

Belge Tipi:

Makale

Yayın Tarihi:

12/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000425593

eISSN:

2536-5134

pISSN:

2536-5010

DOI:

https://doi.org/10.36222/ejt.623068