Building System To Improve The Quality Of Digital Educational Images Used In The Production Of Electronic Courses

ELSAEED M. ABDELRAZEK^*1, ABD EL FATAH A. ELZAYAT², ABEER M. SAAD³

¹Faculty Of Specific Education, Damietta University, Damietta, Egypt

²Senior Teacher of Computer, Damietta Educational Administration, Damietta, Egypt

³Computer Teacher Preparation Dept., Faculty Of Specific Education, Damietta University, Damietta, Egypt,

Emails:  elsaeed2004@hotmail.com;  abdoelzayat@gmail.com;  asaad@du.edu.eg

Abstract

The aim of the research is to build a system to improve the quality of digital images used in the production of electronic courses, as this proposed system relied on digital image processing using recursive curve modification histogram techniques (through a set of stages including the stage of converting the color image to a gray scale image, then the stage Removing noise from the image, then the stage of resetting the contrast of the image Histogram Equalization Technique, with
a judgment or decision on the importance of the improved image resulting from the system automatically, by comparing the (SSIM) value between the original image and the enhanced image and coming up with a decision before outputting The image on the screen and how useful it is,
or keep the original image.

Keywords: Quality; Digital Educational Images; Image processing; Electronic Courses .

Building System To Improve The Quality Of Digital Educational Images Used In The Production Of Electronic Courses

ELSAEED M. ABDELRAZEK^*1, ABD EL FATAH A. ELZAYAT², ABEER M. SAAD³

¹Faculty Of Specific Education, Damietta University, Damietta, Egypt

²Senior Teacher of Computer, Damietta Educational Administration, Damietta, Egypt

³Computer Teacher Preparation Dept., Faculty Of Specific Education, Damietta University, Damietta, Egypt,

Emails:  elsaeed2004@hotmail.com;  abdoelzayat@gmail.com;  asaad@du.edu.eg

Abstract

The aim of the research is to build a system to improve the quality of digital images used in the production of electronic courses, as this proposed system relied on digital image processing using recursive curve modification histogram techniques (through a set of stages including the stage of converting the color image to a gray scale image, then the stage Removing noise from the image, then the stage of resetting the contrast of the image Histogram Equalization Technique, with
a judgment or decision on the importance of the improved image resulting from the system automatically, by comparing the (SSIM) value between the original image and the enhanced image and coming up with a decision before outputting The image on the screen and how useful it is,
or keep the original image.

Keywords: Quality; Digital Educational Images; Image processing; Electronic Courses .