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

Parallelizing Low Vision Feature Extraction through GPUs
Parallelizing Low Vision Feature Extraction through GPUs
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
An automated system to mitigate loss of life at unmanned level crossings
An automated system to mitigate loss of life at unmanned level crossings
Conductive Polymer Binders for CdS/CdTe Devices
Conductive Polymer Binders for CdS/CdTe Devices
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Novel Nanocomposites with Unusually High Conductivity for Microwave Absorption Development of Carbon-Intrinsically Conducting Polymer (C-ICP) and C-ICP Metal Nanocomposites
Admissions Apply Now