Extracting Spread Spectrum Data from Image
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 12)Publication Date: 2014-12-05
Authors : Sahej Redekar; Reena Gunjan;
Page : 587-590
Keywords : Spread spectrum; GLS; blind extraction; DCT transform; data hiding;
Abstract
The problem of extracting blindly data embedded over a wide band in a spectrum domain of digital medium image is considered. Multicarrier Iterative Generalized Least Square (M-IGLS) algorithm is develop to extract unknown data hiding in the host via multicarrier SS embedding. Original host and embedding carriers are not need to be known. This project consider the blind extraction technique. Which means original host and embedding carriers are assumed unavailable. The hidden data which is embedded in the image to the host signal via multicarrier SS embedding. The hidden data is extracted from image. Multicarrier Iterative Generalized Least Square (M-IGLS) algorithm is the extraction algorithm is used to extract the hidden data from image. M-IGLS is low complexity algorithm which provides high performance. Experimental studies on image show that the developed algorithm can achieve recovery probability of error equals to what may be attained with known embedding carriers and original host.
Other Latest Articles
- A Review on Histogram Shifting for Reversible Watermarking Technique
- Energy Conservation for Datacenters in Cloud Computing using Genetic Algorithms
- How Much Privacy We Still Have?
- Assessment of Sugar Levels in Different Soft Drinks: A Measure to Check National Food Security
- Phase Morphology in Liquid Crystals Mixtures
Last modified: 2021-06-30 21:15:01