Prof. Ziad Alqadi, International Journal of Computer Science and Mobile Computing, Vol.9 Issue.11, November- 2020, pg. 21-27
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International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
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IJCSMC, Vol. 9, Issue. 11, November 2020, pg.21 – 27
Image Blocking to Hide Secret Message
Prof. Ziad Alqadi
Faculty of Engineering Technology, Computer Engineering
Albalqa Applied University, Jordan Amman
DOI: 10.47760/ijcsmc.2020.v09i11.002
Abstract: A huge number of messages circulate through social media, and many of these messages are confidential or carry
personal information, which requires protection from intruders. The least significant bit method of data steganography is effective
in masking messages, but it is not secure. In this research paper we will present a way to raise the security of the method of hiding
messages without affecting the effectiveness of the method by keeping the MSE values low and PSNR values high. The proposed
method will base on extracting a secret block from the image, this block will be used as a covering media to hold the secret message,
after inserting the secret message the block will be returned back to the covering image.
Keywords: Steganography, covering image, holding image, block, LSB, MSE, PSNR.
1- Introduction
The process of hiding secret or private messages is extremely important [5], [6]. And to implement the process of hiding messages,
colored digital images can be used as a medium to hide messages for various reasons, the most important of which are [7]. [8], [9]:
Color images are a massive medium due to the high resolution of the color image [16],[17], 18].
Color image is widely available and can be obtained easily [19], [20].
Ease of processing color digital image [21-32].
The ability to use a specific part of the image to hide the message.
An effective way to hide secret messages by using color images as carrier images must be characterized by the following:
Not to influence the image much so that the differences between the original image and the carrier image are not noticed with
the naked eye, as shown in Figure 1.
The mean square error (MSE) [10], [11], [12] between the original image and the carrier one must very closed to zero.
The peak signal to noise ratio (PSNR) [13], [14], [15] between the original image and the carrier one must very high.