Ntahobari, Maurice (2018) Enhancing Image-Based Data Hiding Method Using Reduced Difference Expansion And Difference Integer Transform. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Data hiding is a technique that is used to hide secret information within a cover
media. In its growth of technology, this technique is not only used for concealing data
but also for data authentication and copyright identification. Furthermore, in
implementing data hiding algorithm, the technique can leads to diminishing the
quality of cover media. In this context, cover media could be image, audio, text or
video. Since, hiding secret message within cover media for example image destroys
its visual quality. Therefore, unauthorized users can suspect the existence of secret
data within that image.
To achieve on high quality stego image is still a challenging problem. In the past
years, different data hiding algorithms have been developed to secure data during
transmission process by increasing the visual quality. However, there is still a room
to contribute in order to achieve on high performance algorithm in terms of visual
quality. This is why currently many data hiding method are being proposed.
In this thesis, a new data hiding algorithm is proposed based on difference expansion
that aims to improve the quality of stego image for a given payload capacity. In this proposed method, an image is divided into blocks then a pixel value is used in order
to calculate the difference, and it is subtracted from each pixel in a pixel block as the
base point. Then, the difference is reduced before embedding using proposed method.
Thereafter, the secret message is embedded within the reduced difference. Moreover,
at the recipient side, the reverse of embedding process is performed to extract,
recover the secret message and cover image respectively without any damage.
The outcome from the new proposed method is compared to the previous method
and the performance is better. The performance has been increased by the highest
improvement of 2.4 dB that was obtained for head image when the size of 5 kb was
embedded. The highest PSNR value of 42.609 dB was gained for chest image and the
low PSNR value of 34 dB was obtained for head image. In general, the new method
performs better for all size of secret message.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Data hiding, Data protection, information security, secret data, visual quality, reversible data hiding, reduced difference expansion |
| Subjects: | Q Science > QA Mathematics > QA76.9.A25 Computer security. Digital forensic. Data encryption (Computer science) Q Science > QA Mathematics > QA76.9.D343 Data mining. Querying (Computer science) T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Information Technology > Informatics Engineering > 55101-(S2) Master Thesis |
| Depositing User: | MAURICE NTAHOBARI |
| Date Deposited: | 21 Feb 2018 03:10 |
| Last Modified: | 30 Apr 2020 22:16 |
| URI: | http://repository.its.ac.id/id/eprint/49355 |
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