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5. Statement of Historians

Author

Thapar, Romila, Habib, Man, Narayanan, M G S, Panikkar, K N, Subbarayalu, Y, Chattopadhyaya, B D, Jha, D N, Chaudhuri, B B, Naik, J V, Shrimali, K M, Bhattacharya, Neeladri, Gurukkal, Rajan, and Venkatachalapathy, A R

Published
2015

6. Bounded PCA-based Multi-Sensor Image Fusion Employing Curvelet Transform Coefficients.

Author

Singh, A. K., Chaudhuri, D., Mitra, S., Singh, M. P., and Chaudhuri, B. B.

Subjects
CURVELET transforms, IMAGE fusion, MULTISENSOR data fusion, VIDEO processing, THERMOGRAPHY
Abstract

The fusion of thermal and visible images acts as an important device for target detection. The quality of the spectral content of the fused image improves with wavelet-based image fusion. However, compared to PCA-based fusion, most wavelet-based methods provide results with a lower spatial resolution. The outcome gets better when the two approaches are combined, but they may still be refined. Compared to wavelets, the curvelet transforms more accurately depict the edges in the image. Enhancing the edges is a smart way to improve spatial resolution and the edges are crucial for interpreting the images. The fusion technique that utilizes curvelets enables the provision of additional data in both spectral and spatial areas concurrently. In this paper, we employ an amalgamation of Curvelet Transform and a Bounded PCA (CTBPCA) method to fuse thermal and visible images. To evidence the enhanced efficiency of our proposed technique, multiple evaluation metrics and comparisons with existing image merging methods are employed. Our approach outperforms others in both qualitative and quantitative analysis, except for runtime performance. Future Enhancement-The study will be based on using the fused image for target recognition. Future work should also focus on this method's continued improvement and optimization for real-time video processing. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Dielectric relaxation and scaling of AC conductivity observed in mixed valence perovskite Eu2CoMnO6.

Author

Masud, Md. G. and Chaudhuri, B. K.

Subjects
DIELECTRIC properties, PEROVSKITE, ELECTRIC conductivity, POLYCRYSTALLINE silicon, EMPIRICAL research
Abstract

Monophasic and polycrystalline double perovskite Eu2CoMnO6 has been synthesized, and its structural characterization, frequency and temperature-dependent dielectric relaxation have been studied. Observed thermally activated dielectric relaxation was explained using the empirical Havriliak–Negami (HN) dielectric relaxation function with an estimated activation energy E ∼ 0.22 eV and attempt frequency f 0 ∼ 2.46 × 109 Hz. The frequency-dependent AC conductivity data, over a wide range of temperature (100–325 K), followed the empirical universal power law behavior (∼ f n , n is the constant exponent) showing two different frequency exponents, respectively, in the high- and low-temperature regions. The high-temperature (> 275 K) conductivity data followed the continuous time random walk (CTRW) approximation model proposed by Dyre. However, this model failed to reproduce the observed conductivity spectra in the low-temperature side (< 200 K). Interestingly, both the high- and low-temperatures' conductivity data can be scaled to the master curve with suitably chosen scaling parameters. [ABSTRACT FROM AUTHOR]

Published
2021
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