Back close

Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography

Project Incharge:Mrs.Malathi P
Co-Project Incharge:Meera M
Linear Coding Method to Improve Embedding Efficiency of Cover Image in Image Steganography

This project aims to propose a method for improve the embedding efficiency of a grayscale cover image for image steganography. Linear coding (matrix embedding) method is used for embedding the message in the cover image so that the capacity of the cover image is utilised efficiently. Compressed domain embedding techniques has proven to be resistant against many steganalysis techniques, yet the capacity of the medium is constraint. The number of non-zero quantized coefficients will be less than the actual number of DCT coefficients, which reduces the capacity of the cover image. This project proposes a method to embed the message using an extension to hamming code, which was proven to improve the embedding capacity. It also compares the results with existing techniques.

Sample screenshots

Related Projects

An Edge-based Cyber-Physical<br>System for Smart Polyhouse Solar Drying of Agricultural Food Products
An Edge-based Cyber-Physical
System for Smart Polyhouse Solar Drying of Agricultural Food Products
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
AMARAN Unmanned Robotic Coconut Tree Climber and Harvester
AMARAN Unmanned Robotic Coconut Tree Climber and Harvester
Admissions Apply Now