2018
DOI: 10.30630/joiv.2.4.151
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Salt and Pepper Noise: Effects and Removal

Abstract: Noises degrade image quality which causes information losing and unsatisfying visual effects. Salt and Pepper noise is one of the most popular noises that affect image quality. In RGB color image Salt and pepper noise changes the number of occurrences of colors combination depending on the noise ratio. Many methods have been proposed to eliminate Salt and Pepper noise from color image with minimum loss of information. In this paper we will investigate the effects of adding salt and pepper noise to RGB color im… Show more

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Cited by 59 publications
(43 citation statements)
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“…[32], [33]. Various authors proposed LBP and CSLBP (center symmetric LBP) methods [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], these methods were directed for image manipulation, and sometimes they were used to extract features for both gray and digital images [20] [21], Figure 3 Based on LBP [20][21][22][23][24][25][26][27][28][29][30] we introduce a modified LBP (MLBP) method to create a voiceprint for a digital voice signal, these voiceprint can be used in a recognition system to find a classifier that can identify the voice signal, MLBP can be implemented applying the following steps:…”
Section: Local Binary Pattern Methods Of Features Extractionmentioning
confidence: 99%
“…[32], [33]. Various authors proposed LBP and CSLBP (center symmetric LBP) methods [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], these methods were directed for image manipulation, and sometimes they were used to extract features for both gray and digital images [20] [21], Figure 3 Based on LBP [20][21][22][23][24][25][26][27][28][29][30] we introduce a modified LBP (MLBP) method to create a voiceprint for a digital voice signal, these voiceprint can be used in a recognition system to find a classifier that can identify the voice signal, MLBP can be implemented applying the following steps:…”
Section: Local Binary Pattern Methods Of Features Extractionmentioning
confidence: 99%
“…Teknik ini bekerja dengan menganti setiap nilai piksel dengan nilai tengah dari nilai piksel yang berdekatan. Nilai median dihitung dengan mengurutkan semua nilai piksel dari window, lalu mengganti nilai piksel diseluruh citra dengan nilai tengah (median) piksel [7]. Secara matematis, teknik median filter dapat dinyatakan sebagai berikut:…”
Section: B Teknik Median Filterunclassified
“…images are treatment (and here encryption=decryption) is different from text encryptiondecryption due to some valuable features of the digital image, such as bulk data capacity and high correlation among pixels. [4], [5], [6].…”
Section: Introductionmentioning
confidence: 99%