V. Vaithiyanathan's research while affiliated with SASTRA University and other places

As the region of interest is only on vegetative cover areas of satellite images, Panchromatic and Multispectral images are scanned for this purpose. A modified method of IHS fusion result is focused to be better in the method of traditional IHS fusion. Here in this study, a combination of improved IHS fusion and Coarse to Fine level segmentation is deployed to identify the vegetation area with less computational complexity and comparatively higher accuracy. © 2017, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.

The bubble detector is used to detect the amount of neutron and hence used to measure the neutron dose under intense gamma field. It can be used to monitor radioactive exposure. The number of nucleated bubbles yields the neutron dose. Hence the accuracy of the measurement depends on the counting of bubbles. This work proposes an image processing based technique to increase the accuracy in finding the number of bubbles in the bubble detector. It is carried out by using watershed and region growing based segmentation. The image processing segmentation techniques shade the digital image of bubble detector into various segments from which the number of bubbles in the bubble detector is detected.

An enhanced fusion algorithm for generating a super-resolution image from a sequence of low-resolution images captured from identical scene apparently a video based on adaptive normalized convolution has been designed and analyzed. The algorithm for fusing the images is based on the supporting structure of normalized convolution. Here the idea is projection of local signals onto a subspace. The adaptive nature of the window function in adaptive normalized convolution helps to gather more samples for processing and increases signal-to-noise ratio, decreases diffusion through discontinuities. The validation of proposed method is done using simulated experiments and real-time experiments. These experimental results are compared with various latest techniques using performance measures like peak signal-to-noise ratio, sharpness index and blind image quality index. In both the cases of experiments, the proposed adaptive normalized convolution-based super-resolution image reconstruction has proved to be highly efficient which is needed for satellite imaging, medical imaging diagnosis, military surveillance, remote sensing, etc.

In this study, a singular perturbation based technique is used for synthesis and analysis of a near optimal midcourse guidance law for realistic air-To-Air engagement. After designing the proposed midcourse guidance law using three dimensional point mass formulation it has been validated through detailed realistic six degrees of freedom simulation. During terminal phase only proportional navigation guidance have been used. The calculation of optimal altitude in present guidance law has been carried out using Newton's method, which needs generally one iteration for convergence and suitable for real-Time implementation. Extended Kalman filter based estimator has been used for obtaining evader kinetic information from both radar and seeker noisy measurements available during midcourse and terminal guidance. The data link look angle constraint due to hardware limitation which affects the performance of midcourse guidance has also been incorporated in guidance law design. Robustness of complete simulation has been carried out through Monte Carlo studies. Extension of launch boundary due to singular perturbation over proportional navigation guidance at a given altitude for a typical engagement has also been reported.

In this study, a singular perturbation based technique is used for synthesis and analysis of a near optimal midcourse guidance law for realistic air-to-air engagement. After designing the proposed midcourse guidance law using three dimensional point mass formulation it has been validated through detailed realistic six degrees of freedom simulation. During terminal phase only proportional navigation guidance have been used. The calculation of optimal altitude in present guidance law has been carried out using Newton’s method, which needs generally one iteration for convergence and suitable for real-time implementation. Extended Kalman filter based estimator has been used for obtaining evader kinetic information from both radar and seeker noisy measurements available during midcourse and terminal guidance. The data link look angle constraint due to hardware limitation which affects the performance of midcourse guidance has also been incorporated in guidance law design. Robustness of complete simulation has been carried out through Monte Carlo studies. Extension of launch boundary due to singular perturbation over proportional navigation guidance at a given altitude for a typical engagement has also been reported.<br /

Objectives: This paper proposes a new method to enhance security for data hiding in radiographic images through distortion of original data. Method: The process involves applying a Burrows-Wheeler Transform (BWT) to the original data, which groups and stores similar patterns in data, causing distortion. This distorted data is then further encoded in a safe format before hiding it in the cover image. The decoding process decoding from the safe format and applying Inverse Burrows-Wheeler Transform (IBWT) to retrieve the original data from the stego image. Findings: Thus, a 2-level security scheme is implemented. Cryptanalysis of the hidden data becomes difficult since the original data is distorted, thus enhancing the security of the hidden data. Nevertheless, the stego image obtained from this method is less deviated from the original cover image. This is shown from the satisfactory PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) obtained. Application/Improvements: This proposed method can be used wherever steganography or data hiding has its applications. This method can be used in commercial communication, military communication etc.