Mr. Amit Shmueli Profile

Amit Shmueli

at NVIDIA Corp

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 4 October 2023 Paper

JPEG frequency domain-based image steganography using iterative prediction and decision rules to improved data integration

Ron Shmueli, Divya Mishra, Amit Shmueli, Ofer Hadar

Proceedings Volume 12674, 126740S (2023) https://doi.org/10.1117/12.2688054

KEYWORDS: Histograms, Image compression, Steganography, Image quality, Distortion, Visualization, Data hiding, Image processing, Quantization, Cameras

Read Abstract +

This paper proposes a novel steganographic method that employs a feedback mechanism to improve the efficiency and stealth of data hiding within the Discrete Cosine Transform (DCT) coefficients of JPEG images. This method enhances the correlation between the hidden message and the cover image, while minimizing the perceptible changes to the image. The system starts by dividing the cover image into blocks and applying DCT to each. It then evaluates the correlation between the hidden message and the DCT coefficients to identify potential data embedding points. A trained decision rules algorithm then chooses the optimal data embedding technique, considering factors like the size and location of the DCT coefficient within image blocks. Different embedding techniques are employed. The system subsequently generates feedback based on metrics such as image quality and data detectability, refining the decision ruls's effectiveness over time. By employing this dynamic approach, our system adaptively improves the data hiding process, enhancing capacity and minimizing detectability. This work opens new doors in the realm of steganography, presenting an intelligent system capable of adaptively embedding data with optimized stealth and efficiency.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years