Reversible image steganography using ROI & RONI

Reversible steganography allows to recover of original image without any distortion when the embedded secret message has extracted. This research was tested with four different image and one storage image. The sample image is divided into three type of region which are Region of Interest (ROI), Regi...

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Bibliographic Details
Main Author:	Lim, Jee Chao
Format:	Undergraduates Project Papers
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/27103/ http://umpir.ump.edu.my/id/eprint/27103/ http://umpir.ump.edu.my/id/eprint/27103/1/Reversible%20image%20steganography%20using%20ROI.pdf

id	ump-27103
recordtype	eprints
spelling	ump-271032019-12-24T02:03:39Z http://umpir.ump.edu.my/id/eprint/27103/ Reversible image steganography using ROI & RONI Lim, Jee Chao QA75 Electronic computers. Computer science QA76 Computer software Reversible steganography allows to recover of original image without any distortion when the embedded secret message has extracted. This research was tested with four different image and one storage image. The sample image is divided into three type of region which are Region of Interest (ROI), Region of Non-Interest (RONI) and untouchable region. This research using the technique of finding the ROI and RONI of the cover image to find position to embed the message and recover the original image. During embedding process, the RONIs’ bits are stored into the storage image known as sample_image. Next, the ROIs’ bits are stored into RONI so that it can be recovered during extraction process. Sender select the x-coordinate and y-coordinate to embed the secret information into the ROI2. Sender also need embed the secret key in the RONI2 image which can help to secure the secret information. After that, stego-image was generated after ROI and RONI embedded. In extraction process, receiver need to extract the secret key to decrypt the secret message. For reversible process, ROIs and RONIs were reversed to original bits. Peak Signal-to-Noise Ratio (PSNR) value was used to measure the quality of stego-image and similarity of original image and recover image. The value of PSNR of the four selected sample image is between 52.60dB to 52.62dB. Histogram of original image, stego-image and recover image are generated for visual difference between original image, stego-image and recover image. In conclusion, this proposed method has proved a better approach compared to previous work in terms of selecting a position to embed by using ROI and RONI 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27103/1/Reversible%20image%20steganography%20using%20ROI.pdf Lim, Jee Chao (2019) Reversible image steganography using ROI & RONI. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Lim, Jee Chao Reversible image steganography using ROI & RONI
description	Reversible steganography allows to recover of original image without any distortion when the embedded secret message has extracted. This research was tested with four different image and one storage image. The sample image is divided into three type of region which are Region of Interest (ROI), Region of Non-Interest (RONI) and untouchable region. This research using the technique of finding the ROI and RONI of the cover image to find position to embed the message and recover the original image. During embedding process, the RONIs’ bits are stored into the storage image known as sample_image. Next, the ROIs’ bits are stored into RONI so that it can be recovered during extraction process. Sender select the x-coordinate and y-coordinate to embed the secret information into the ROI2. Sender also need embed the secret key in the RONI2 image which can help to secure the secret information. After that, stego-image was generated after ROI and RONI embedded. In extraction process, receiver need to extract the secret key to decrypt the secret message. For reversible process, ROIs and RONIs were reversed to original bits. Peak Signal-to-Noise Ratio (PSNR) value was used to measure the quality of stego-image and similarity of original image and recover image. The value of PSNR of the four selected sample image is between 52.60dB to 52.62dB. Histogram of original image, stego-image and recover image are generated for visual difference between original image, stego-image and recover image. In conclusion, this proposed method has proved a better approach compared to previous work in terms of selecting a position to embed by using ROI and RONI
format	Undergraduates Project Papers
author	Lim, Jee Chao
author_facet	Lim, Jee Chao
author_sort	Lim, Jee Chao
title	Reversible image steganography using ROI & RONI
title_short	Reversible image steganography using ROI & RONI
title_full	Reversible image steganography using ROI & RONI
title_fullStr	Reversible image steganography using ROI & RONI
title_full_unstemmed	Reversible image steganography using ROI & RONI
title_sort	reversible image steganography using roi & roni
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27103/ http://umpir.ump.edu.my/id/eprint/27103/ http://umpir.ump.edu.my/id/eprint/27103/1/Reversible%20image%20steganography%20using%20ROI.pdf
first_indexed	2023-09-18T22:42:30Z
last_indexed	2023-09-18T22:42:30Z
_version_	1777417008900472832

Reversible image steganography using ROI & RONI

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