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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Zena Ahmed Alwan
Middle Technical University
Computer Science & IT Electrical & Electronics Engineering

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Color image steganography in YCbCr space Zena Ahmed Alwan; Hamid Mohammed Farhan; Siraj Qays Mahdi
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.709 KB) | DOI: 10.11591/ijece.v10i1.pp202-209

Abstract

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominance), YUV, YIQ, etc. This paper uses unusual module to hide data: an adaptive procedure that can increase security ranks when hiding a top secret binary image in a RGB color image, which we implement the steganography in the YCbCr module space. We performed Exclusive-OR (XOR) procedures between the binary image and the RGB color image in the YCBCR module space. The converted byte stored in the 8-bit LSB is not the actual bytes; relatively, it is obtained by translation to another module space and applies the XOR procedure. This technique is practical to different groups of images. Moreover, we see that the adaptive technique ensures good results as the peak signal to noise ratio (PSNR) and stands for mean square error (MSE) are good. When the technique is compared with our previous works and other existing techniques, it is shown to be the best in both error and message capability. This technique is easy to model and simple to use and provides perfect security with unauthorized.
MATLAB modeling to evaluate the ratio of packed cell volume Zena Ahmed Alwan; Suhair Mohammed Yaseen; Huda Farooq Jameel
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp414-420

Abstract

There are many direct and indirect methods of measuring the volumetric ratioof red blood cells relative to sample size and total blood, but the manual carcinogenic method remains the most stable and least expensive method despite the possibility of human error.The ratio percent of the packed red blood cell volume to the total volume of the blood sample is known as the packed cell volume (PCV). Our efforts were directed at finding a precise and economic method for PCV determination. There by, we designed a simple device consisting of a digital camera that is connected to a computer which uses a specific MATLAB program to process the blood images. As a result,the image can be read and the PCV can be calculated using a special code system. This new measuring system provides the capabilities and advantagesto frequently comment on measured PCV with normal or abnormal, in comparison with normal values of PCV, which are stored in the computer. Our measurement method provides accurate results compared to the ruler results to alleviate the effort of clearing the hepatitis C virus from the blood (PCV). This system enables a swift and simple sample analysis and PCV identification.
Co-Authors Hamid Mohammed Farhan Huda Farooq Jameel Siraj Qays Mahdi Suhair Mohammed Yaseen