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

Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Seabuckthorn – A Repository of Bioactive Phytochemicals
Seabuckthorn – A Repository of Bioactive Phytochemicals
Psychiatry and Disorders
Psychiatry and Disorders
Reliability based soft decision decoding of Turbo codes for satellite communication
Reliability based soft decision decoding of Turbo codes for satellite communication
Admissions Apply Now