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The EEG (Electroencephalogram) signals are brain mapped signals that contain information about the brain's complexity and uncertainty. The EEG signals though are useful but due to a large variety of data in them, may look random in nature. We have to extract the proper information from the data by computational modelling of scalp EEG signals. The chaos theory helps in analysing the neurobiological...
Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference system is employed to detect the normal and the onset of epilepsy.
Steganalysis is the aptitude of identifying stegogrammes that contain a secret message. To test the steganalysis algorithm touching the unusual Stego images to ensure its robustness. This paper proposes an active steganalysis method uses irregularity in the stego image or the specialized algorithm is used to detect the existence of stego image. DCT coefficients are intended for each block. Approximate...
In remote sensing applications there is a need of an image with high spatial resolution and high spectral resolution. To obtain this kind of image the panchromatic image is fused with the multispectral image using hybrid transform. The basic ideas behind this method is that the extraction of the spectral information from the multispectral image and fuse this information with the new intensity component...
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