Araştırma Makalesi
BibTex RIS Kaynak Göster

Salt Pepper Noise Reduction Using Euclidean Distance Based Adaptive Filter

Yıl 2019, Cilt: 7 Sayı: 1, 445 - 456, 31.01.2019
https://doi.org/10.29130/dubited.457452

Öz

Nowadays, with the development of technology, there is a possibility of corruption of the image due to some
disturbing effects during the image retrieval from the external world. One of these disruptive effects is salt and
pepper noise. In this paper, a new filter which called Euclidean Distance Based Adaptive Filter (EDBAF) is
proposed to remove salt and pepper noise. In this approach, it is calculated how much the noiseless pixels in the
process pixel will affect the center pixel than the center pixel distances. In this way, it has been performed to
image enhancement. This approach has been tested on different test images with different image quality
parameters. It has been verified that it is better at low and high noise density than other existing filters. 

Kaynakça

  • [1] T.R. Farshi, “Image noise reduction method based on compatibility with adjacent pixels,” International Journal of Image and Graphics, vol. 3, no. 17, pp. 1750014, 2017.
  • [2] P. Altınışık, E. Ergün, “Özyinelemeli ortanca süzgeç için iki yeni yaklaşım,” 2017 International Artificial Intelligence and Data Processing Symposium, Malatya, Türkiye, 16-17 Eylül, 2017.
  • [3] R.H. Chan, C.W. Ho, M. Nikolova, “Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization,” IEEE Transaction on Image Processing, vol. 10, no. 14, pp. 1479-1485, 2005.
  • [4] K.S. Srinivasan, D. Ebenezer, “A new fast and efficient decision-based algorithm for removal of high density impulse noises,” IEEE Signal Processing Letters, vol. 3, no. 14, pp. 189-192, 2007.
  • [5] A. Dash, S.K. Sathua, “High density noise removal by using cascading algorithms,” 2015 Fifth International Conference on Advanced Computing and Communication Technologies, Haryana, Hindistan, 2015, pp. 96-101.
  • [6] E.S. Chang, C. Hung, W. Liu, W.Yin, “A denoising algorithm for remote sensing images with impulse noise,” Geoscience and Remote Sensing Symposium, Beijing, Çin, 2016, pp. 2905-2908.
  • [7] S. Esakkirajan, T. Veerakumar, A.N. Subramanyam, C.H. PremChand, “Removal of high density salt and pepper noise through modified decision based unsymmetrical trimmed median filter,” IEEE Signal Processing Letters, vol. 5, no. 18, pp. 287-290, 2011.
  • [8] N.K. Chaitanya, P. Sreenivasulu, “Removal of salt and pepper noise using advanced modified decision based unsymmetrical trimmed median filter,” 2014 International Conference on Electronics and Communication System, Coimbatore, Hindistan, pp 13-14, 2014.
  • [9] H. Ibrahim, N.S.P. Kong, T.F. Ng, “Simple Adaptive Median Filter for Removal of Impulse Noise from Highly Corrupted Images,” IEEE Transactions on Consumer Electronics, vol. 4, no. 4, pp 1920–1927, 2008.
  • [10] K.V.R. Teja, N.S. Rao, P.S. Kumar, “Distance based algorithm for removal of salt and pepper noise,” 2017 International Conference on Circuits Power and Computing Technologies, Kollam, Hindistan, pp. 20-21, 2017.
  • [11] P. Karthikeyan, S. Vasuki, “Hybrid approach of efficient decision-based algorithm and fuzzy logic for removal of high density salt and pepper noise in images,” Journal of Circuits, Systems, and Computers, vol. 25, no. 10, 2016.
  • [12] Z. Li, Y. Cheng, K. Tang, Y. Xu, D. Zhang, “A salt and pepper noise filter based on local and global image information” Neurocomputing, vol. 159, pp. 172-185, 2015.
  • [13] E.M. Cherrat, R. Alaoui, H. Bouzahir, W. Jenkal, “High density salt and pepper noise suppression using adaptive dual threshold decision based algorithm in fingerprint images,” 2017 Intelligent Systems and Computer Vision, Fez, Morocco, pp 17-19, 2017.
  • [14] K. Kal, V. Toh, S. Member, N. Ashidi, M. Isa, “Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction,” IEEE Signal Processing Letters, vol. 3, no. 17, pp. 281-284, 2010.
  • [15] U. Erkan, L. Görkem, “A new method based on pixel density in salt and pepper noise removal,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 1, no. 26, pp.162-171, 2018.
  • [16] U. Ekran, L. Görkem, S. Enginoğlu, “Different applied median filter in salt and pepper noise,” Computers and Electrical Engineering, vol. 70, pp. 789-798, 2018.

Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi

Yıl 2019, Cilt: 7 Sayı: 1, 445 - 456, 31.01.2019
https://doi.org/10.29130/dubited.457452

Öz



Günümüzde teknolojinin gelişmesiyle dış dünyadan görüntülerin alınması aşamasında bazı bozucu etkilerden
dolayı görüntülerin bozulması söz konusudur. Bu bozucu etkilerden biri de tuz ve biber gürültüsüdür. Bu yazıda,
tuz ve biber gürültülerinin giderilmesi için Öklid Mesafesi Tabanlı Uyarlamalı Filtre (Euclidean Distance Based
Adaptive Filter-EDBAF) isimli yeni bir filtre önerilmektedir. Bu yaklaşımda işlem pencerelerindeki gürültüsüz
piksellerin merkez piksele olan mesafelerine göre merkez piksele ne kadar etki edeceği hesaplanmaktadır. Bu
sayede imgenin iyileştirilmesi gerçekleştirilmektedir. Bu yaklaşım farklı test imgeleri üzerinde farklı görüntü
kalitesi parametreleri üzerinden test edilmiştir. Diğer mevcut filtrelere oranla düşük ve yüksek gürültü
yoğunluğunda daha iyi sonuç verdiği doğrulanmıştır.

Kaynakça

  • [1] T.R. Farshi, “Image noise reduction method based on compatibility with adjacent pixels,” International Journal of Image and Graphics, vol. 3, no. 17, pp. 1750014, 2017.
  • [2] P. Altınışık, E. Ergün, “Özyinelemeli ortanca süzgeç için iki yeni yaklaşım,” 2017 International Artificial Intelligence and Data Processing Symposium, Malatya, Türkiye, 16-17 Eylül, 2017.
  • [3] R.H. Chan, C.W. Ho, M. Nikolova, “Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization,” IEEE Transaction on Image Processing, vol. 10, no. 14, pp. 1479-1485, 2005.
  • [4] K.S. Srinivasan, D. Ebenezer, “A new fast and efficient decision-based algorithm for removal of high density impulse noises,” IEEE Signal Processing Letters, vol. 3, no. 14, pp. 189-192, 2007.
  • [5] A. Dash, S.K. Sathua, “High density noise removal by using cascading algorithms,” 2015 Fifth International Conference on Advanced Computing and Communication Technologies, Haryana, Hindistan, 2015, pp. 96-101.
  • [6] E.S. Chang, C. Hung, W. Liu, W.Yin, “A denoising algorithm for remote sensing images with impulse noise,” Geoscience and Remote Sensing Symposium, Beijing, Çin, 2016, pp. 2905-2908.
  • [7] S. Esakkirajan, T. Veerakumar, A.N. Subramanyam, C.H. PremChand, “Removal of high density salt and pepper noise through modified decision based unsymmetrical trimmed median filter,” IEEE Signal Processing Letters, vol. 5, no. 18, pp. 287-290, 2011.
  • [8] N.K. Chaitanya, P. Sreenivasulu, “Removal of salt and pepper noise using advanced modified decision based unsymmetrical trimmed median filter,” 2014 International Conference on Electronics and Communication System, Coimbatore, Hindistan, pp 13-14, 2014.
  • [9] H. Ibrahim, N.S.P. Kong, T.F. Ng, “Simple Adaptive Median Filter for Removal of Impulse Noise from Highly Corrupted Images,” IEEE Transactions on Consumer Electronics, vol. 4, no. 4, pp 1920–1927, 2008.
  • [10] K.V.R. Teja, N.S. Rao, P.S. Kumar, “Distance based algorithm for removal of salt and pepper noise,” 2017 International Conference on Circuits Power and Computing Technologies, Kollam, Hindistan, pp. 20-21, 2017.
  • [11] P. Karthikeyan, S. Vasuki, “Hybrid approach of efficient decision-based algorithm and fuzzy logic for removal of high density salt and pepper noise in images,” Journal of Circuits, Systems, and Computers, vol. 25, no. 10, 2016.
  • [12] Z. Li, Y. Cheng, K. Tang, Y. Xu, D. Zhang, “A salt and pepper noise filter based on local and global image information” Neurocomputing, vol. 159, pp. 172-185, 2015.
  • [13] E.M. Cherrat, R. Alaoui, H. Bouzahir, W. Jenkal, “High density salt and pepper noise suppression using adaptive dual threshold decision based algorithm in fingerprint images,” 2017 Intelligent Systems and Computer Vision, Fez, Morocco, pp 17-19, 2017.
  • [14] K. Kal, V. Toh, S. Member, N. Ashidi, M. Isa, “Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction,” IEEE Signal Processing Letters, vol. 3, no. 17, pp. 281-284, 2010.
  • [15] U. Erkan, L. Görkem, “A new method based on pixel density in salt and pepper noise removal,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 1, no. 26, pp.162-171, 2018.
  • [16] U. Ekran, L. Görkem, S. Enginoğlu, “Different applied median filter in salt and pepper noise,” Computers and Electrical Engineering, vol. 70, pp. 789-798, 2018.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Aydın Sümer 0000-0001-6326-8520

Aysun Taşyapı Çelebi 0000-0003-4047-1547

Yayımlanma Tarihi 31 Ocak 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 7 Sayı: 1

Kaynak Göster

APA Sümer, A., & Taşyapı Çelebi, A. (2019). Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, 7(1), 445-456. https://doi.org/10.29130/dubited.457452
AMA Sümer A, Taşyapı Çelebi A. Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi. DÜBİTED. Ocak 2019;7(1):445-456. doi:10.29130/dubited.457452
Chicago Sümer, Aydın, ve Aysun Taşyapı Çelebi. “Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi 7, sy. 1 (Ocak 2019): 445-56. https://doi.org/10.29130/dubited.457452.
EndNote Sümer A, Taşyapı Çelebi A (01 Ocak 2019) Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 7 1 445–456.
IEEE A. Sümer ve A. Taşyapı Çelebi, “Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi”, DÜBİTED, c. 7, sy. 1, ss. 445–456, 2019, doi: 10.29130/dubited.457452.
ISNAD Sümer, Aydın - Taşyapı Çelebi, Aysun. “Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 7/1 (Ocak 2019), 445-456. https://doi.org/10.29130/dubited.457452.
JAMA Sümer A, Taşyapı Çelebi A. Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi. DÜBİTED. 2019;7:445–456.
MLA Sümer, Aydın ve Aysun Taşyapı Çelebi. “Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, c. 7, sy. 1, 2019, ss. 445-56, doi:10.29130/dubited.457452.
Vancouver Sümer A, Taşyapı Çelebi A. Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi. DÜBİTED. 2019;7(1):445-56.