Image steganography using Modified DWT algorithm.
Presenter: Ramakrishna Kandimalla
Date: Friday, February 16th,2024
Time: 11:30m to 12:30 pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
LATECOMERS WILL NOT BE ADMITTED once the presentation has begun.
The modern computing world revolves around the word “DATA”, but just what is so intriguing about it? In today’s world, data is the power and businesses have started realizing it because data can predict customer trends potentially, increase sales, and help the organization to achieve newer heights. The technology has become so advanced, and our topmost priority is to secure data. Here in this project, the high-frequency coefficients produced by the discrete wavelet transform contain hidden messages. To enhance the quality of the images, low-frequency sub-band coefficients are kept intact. Before embedding, some elementary mathematical operations are performed on the secret messages. These operations prevent messages from being stolen or destroyed by unauthorized internet users, and they do so while also providing adequate security.
- Introduction to steganography
- Need of Steganography
- Overview of image Steganography
- DWT technique implementation
- LSB Technique implementation
- Drawbacks of the DWT technique
Knowledge of the terms Data Encryption and Steganography.
Ramakrishna is a Masters student at the School of Computer Science (University of Windsor). He had written this research article during his bachelor's back in India and published the paper in a peer revived open access internal journal.