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Decision based detail preserving algorithm for the removal of equal and unequal probability salt and pepper noise in images and videos
المؤلفون المشاركون
Kishorebabu, Vasanth
Karuppaiyan, Kumar
Govindan, Nagarajan
Natarajan, Ravi
Jebaseelan, Sundarsingh
Immanuel, Godwin
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 15، العدد 1 (31 يناير/كانون الثاني 2018)، ص ص. 148-156، 9ص.
الناشر
تاريخ النشر
2018-01-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
novel vicinity based algorithm for the elimination of equal and unequal probability salt and pepper noise with a fixed 3x3 kernel is proposed.
The proposed method uses a tree based switching mechanism for the replacement of corrupted pixel.
The processed pixel is checked for 0 or 255; if found true then the pixel is considered as noisy else termed non noisy and left unaltered.
If the pixel is noisy then it checks for the 4 neighbors of the processed pixel.
If all the 4 neighbors are noisy then mean of the 4 neighbors are replaced.
If any of the 4 neighbors are not noisy then the corrupted pixel is replaced by unsymmetrical trimmed mean.
Under high noisy conditions if all the elements of the current processing window is noisy then global mean replaces the corrupted pixel.
The proposed algorithm exhibits better performance both quantitatively and qualitatively over the standard and existing algorithms at very high noise densities.
The performance of the existing non linear filters are outclassed by the proposed algorithm in terms of PSNR, IEF, MSE, and SSIM and also preserves fine details of an image even at high noise densities.
The algorithm works well even for gray scale, color images and video
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kishorebabu, Vasanth& Karuppaiyan, Kumar& Govindan, Nagarajan& Natarajan, Ravi& Jebaseelan, Sundarsingh& Immanuel, Godwin. 2018. Decision based detail preserving algorithm for the removal of equal and unequal probability salt and pepper noise in images and videos. The International Arab Journal of Information Technology،Vol. 15, no. 1, pp.148-156.
https://search.emarefa.net/detail/BIM-811813
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kishorebabu, Vasanth…[et al.]. Decision based detail preserving algorithm for the removal of equal and unequal probability salt and pepper noise in images and videos. The International Arab Journal of Information Technology Vol. 15, no. 1 (Jan. 2018), pp.148-156.
https://search.emarefa.net/detail/BIM-811813
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kishorebabu, Vasanth& Karuppaiyan, Kumar& Govindan, Nagarajan& Natarajan, Ravi& Jebaseelan, Sundarsingh& Immanuel, Godwin. Decision based detail preserving algorithm for the removal of equal and unequal probability salt and pepper noise in images and videos. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 1, pp.148-156.
https://search.emarefa.net/detail/BIM-811813
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes appendix : p. 156
رقم السجل
BIM-811813
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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