An improved method for combine (LSB and MSB) based on color image RGB
Joint Authors
Khidr, Maysa Abd Ali
Mahdi, Sally A.
Source
Engineering and Technology Journal
Issue
Vol. 39, Issue 1B (31 Jan. 2021), pp.231-242, 12 p.
Publisher
Publication Date
2021-01-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Image steganography is the art of hiding data into an image by using the secret key.
This paper presents two techniques that combine the most significant bit (MSB) as well as the least significant bit (LSB) based on a color image (24bit for RGB).
The presented study proposes a novel method to combine (LSB and MSB) bits based on check MSB values and replace bits from LSB with a secret message.
The result of this proposed method that made not affect quality stego -image based on the resulting histogram that shows a match between the cover image and stego- image and more secure because not hidden in all image.
The factors were used Mean Square Error (MSE), Compute Payload, in addition to Peak Signal to Noise Ratio (PSNR).
The PSNR's rate is high and MSE is less.
The result of this paper when applying on the different image gives high PSNR of 87.141 and less MSE of 0.00012 when inserting message 80 bits and reduction value PSNR of 72.023 and MSE of 0.0040 when inserting message 1200 bits and measure entropy is the same value for cover image and stego –image then this method is more security for the Image steganography is the art of hiding data into an image by using the secret key.
This paper presents two techniques that combine the most significant bit (MSB) as well as the least significant bit (LSB) based on a color image (24bit for RGB).
The presented study proposes a novel method to combine (LSB and MSB) bits based on check MSB values and replace bits from LSB with a secret message.
The result of this proposed method that made not affect quality stego -image based on the resulting histogram that shows a match between the cover image and stego- image and more secure because not hidden in all image.
The factors were used Mean Square Error (MSE), Compute Payload, in addition to Peak Signal to Noise Ratio (PSNR).
The PSNR's rate is high and MSE is less.
The result of this paper when applying on the different image gives high PSNR of 87.141 and less MSE of 0.00012 when inserting message 80 bits and reduction value PSNR of 72.023 and MSE of 0.0040 when inserting message 1200 bits and measure entropy is the same value for cover image and stego –image then this method is more security for the attacker
American Psychological Association (APA)
Mahdi, Sally A.& Khidr, Maysa Abd Ali. 2021. An improved method for combine (LSB and MSB) based on color image RGB. Engineering and Technology Journal،Vol. 39, no. 1B, pp.231-242.
https://search.emarefa.net/detail/BIM-1282633
Modern Language Association (MLA)
Mahdi, Sally A.& Khidr, Maysa Abd Ali. An improved method for combine (LSB and MSB) based on color image RGB. Engineering and Technology Journal Vol. 39, no. 1B (2021), pp.231-242.
https://search.emarefa.net/detail/BIM-1282633
American Medical Association (AMA)
Mahdi, Sally A.& Khidr, Maysa Abd Ali. An improved method for combine (LSB and MSB) based on color image RGB. Engineering and Technology Journal. 2021. Vol. 39, no. 1B, pp.231-242.
https://search.emarefa.net/detail/BIM-1282633
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 241-242
Record ID
BIM-1282633