ABSTRACT:

Reducing distortion between the cover object and the stego object is an important issue for steganography. Thetree-based parity check method is very efficient for hiding a message on image data due to its simplicity. Basedon this approach, we propose a majority vote strategy that results in least distortion for finding a stego object. The lower embedding efficiency of our method is better than that of previous works when the hidden message length is relatively large.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Reinforcement Learning-based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks ABSTRACT: In this paper, we investigate optimal trajectory planning for unmanned aerial vehicle (UAV)
PROJECT TITLE : PRIME: An Optimal Pricing Scheme for Mobile Sensors-as-a-Service ABSTRACT: In this article, we propose a pricing scheme for provisioning mobile Sensors-as-a-Service (mSe-aaS) in the mobile sensor-cloud (MSC) architecture.
PROJECT TITLE : Fast Globally Optimal Transmit Antenna Selection and Resource Allocation Scheme in mmWave D2D Networks ABSTRACT: The process of transmit antenna selection, abbreviated as TAS at base stations, has been the subject
PROJECT TITLE : Optimal Sensor Placement for Source Localization: A Unified ADMM Approach ABSTRACT: Source localization is an important part of many different applications, including radar, wireless communications, and communications
PROJECT TITLE : Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram ABSTRACT: In the field of machine learning, the multi-scale decision system, also known as MDS, is a useful tool for describing

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry