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

Genetic Disease Prediction by DNA Assembly and Graph Analysis 
Genetic Disease Prediction by DNA Assembly and Graph Analysis 
Object Oriented Programming (OOP) Virtual Lab
Object Oriented Programming (OOP) Virtual Lab
Transforming Global Health through Computational Cookstove Design
Transforming Global Health through Computational Cookstove Design
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  
AI-Powered Algorithm for Detecting Micronutrient Deficiency in Coconut Trees  
Admissions Apply Now