Adaptive Right Median Filter for Salt-and-Pepper Noise Removal

Uğur ERKAN; Levent GÖKREM; Serdar ENGİNOĞLU

doi:https://doi.org/10.29137/umagd.495904

Makale detayları

Adaptive Right Median Filter for Salt-and-Pepper Noise Removal

Yazarlar:

Uğur ERKAN | Levent GÖKREM | Serdar ENGİNOĞLU

Yayıncı:

Kirikkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Engineering Research and Development 2019 Vol.11 Issue 2, pp.542-550

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000647161

Sıklık:

İki Yıllık

eISSN:

1308-5514

DOI:

https://doi.org/10.29137/umagd.495904

Özet:

 

In image processing, nonlinear filters are commonly used as a pre-process for noise removal before applying any advanced processing such as classification and clustering to an image. The adaptive filters being a kind of the nonlinear filters mainly perform better than the others in salt-and-pepper noise. In this paper, we first define a new median method, i.e. right median(rm). We then define a new adaptive nonlinear filter developed via rm, namely Adaptive Right Median Filter (ARMF), for saltand-pepper noise removal. Afterwards, we compare the results of ARMF with some of the known filters by using 12 test images and two image quality metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM). The results show that ARMF outperforms the other methods at all the noise density except 80% and 90% in the mean percentages. Finally, we discuss the need for further research.

 


In image processing, nonlinear filters are commonly used as a pre-process for noise removal before applying any advanced processing such as classification and clustering to an image. The adaptive filters being a kind of the nonlinear filters mainly perform better than the others in salt-and-pepper noise. In this paper, we first define a new median method, i.e. right median(rm). We then define a new adaptive nonlinear filter developed via rm, namely Adaptive Right Median Filter (ARMF), for saltand-pepper noise removal. Afterwards, we compare the results of ARMF with some of the known filters by using 12 test images and two image quality metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM). The results show that ARMF outperforms the other methods at all the noise density except 80% and 90% in the mean percentages. Finally, we discuss the need for further research.

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Makale detayları

Adaptive Right Median Filter for Salt-and-Pepper Noise Removal

Yazarlar: Uğur ERKAN | Levent GÖKREM | Serdar ENGİNOĞLU

Yayıncı: Kirikkale University

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Engineering Research and Development 2019 Vol.11 Issue 2, pp.542-550

Belge Tipi: Makale

Yayın Tarihi: 6/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000647161

Sıklık: İki Yıllık

eISSN: 1308-5514

DOI: https://doi.org/10.29137/umagd.495904

Sayı

Yazarlar:

Uğur ERKAN | Levent GÖKREM | Serdar ENGİNOĞLU

Yayıncı:

Kirikkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Engineering Research and Development 2019 Vol.11 Issue 2, pp.542-550

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000647161

Sıklık:

İki Yıllık

eISSN:

1308-5514

DOI:

https://doi.org/10.29137/umagd.495904