Analysis of Color Image Filtering Methods

Abstract

The quality of the RGB color image degrades from the minute it is captured to the time it is displayed to the human observer. The image is subject to many kinds of distortions during the stages that it might pass through such as storing, processing, compressing, and transmitting, thus enhancing the image quality is a major important issue. This paper will introduce the effects of salt&pepper and Gaussian noises. A comparative experimental analysis will be done and some recommendation will be approved in which filter to use to reduce the effect of the noise. General TermsColor image filtering methods KeywordsAdaptive median filter, median filter, average filter, noise, PSNR..

Analysis of Digital Signal Features Extraction Based on LBP Operator

“…[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:…”

Untitled

“…[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] 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:…”

Enhancing Color Image Clustering using K-Means Method

“…Digital image is one of the most important type of digital data, it is now widely used in many vital application such security [1], [2], [3] systems using cryptography [4] and steganography [5], [6], computer systems identification such as banking systems, robotics etc. Digital image are usually represented by 2D matrix [7], [8] (gray image), or 3D matrix (color image) [9], [10]. The intersection of row and column is called a pixel and it takes the value between 0 and 255 for a gray image as shown in figure 1.…”