| # | List of Publication by Dr. Ruchira Naskar |
|---|---|
| 1 | J. Bakas, S. Ramachandra and R. Naskar, Double and triple compression based forgery detection in JPEG images using deep convolutional neural network, SPIE Journal of Electronic Imaging, vol. 29, no. 2, 023006, 2020. doi: 10.1117/1.JEI.29.2.023006, 2020 |
| 2 | V. U. Sameer and R. Naskar, Deep Siamese Network for Limited Labels Classification in Source Camera Identification, Multimedia Tools and Applications, Springer, doi: 10.1007/s11042-020-09106-y. (Accepted, May, 2020), 2020 |
| 3 | To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020 |
| 4 | R. Dixit and R. Naskar, Region Duplication Detection in Digital Images based on Centroid Linkage Clustering of Key-points and Graph Similarity Matching, Multimedia Tools and Applications, Springer, vol. 78, no. 10, pp. 13819-13840, 2019, doi: 10.1007/s11042-018-6666-1, 2019 |
| 5 | A. Choudhury, R. Naskar, A.B. Mallick and S. Pal, Computer Vision Approach for Phase Identification from Steel Microstructure, Engineering Computations, Emerald Insight, vol. 36, no. 6, pp. 1913-1933, 2019. doi:10.1108/EC-11-2018-0498, 2019 |
| 6 | A. Panda, R. Naskar and S. Pal, A Deep Learning Approach for Segmentation of Plain Carbon Steel Microstructure Images, IET Image Processing, vol. 13, no. 9, pp. 1516 - 1524, 2019. doi: 10.1049/iet-ipr.2019.0404, 2019 |
| 7 | D. B. Tariang, R. S. Chakraborty and R. Naskar, A Robust Residual Dense Neural Network for Countering Anti-Forensic Attack on Median Filtered Images, IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1132-1136, 2019 |
| 8 | A. Panda, R. Naskar and S. Pal, An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel, 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019., 2019 |
| 9 | V. U. Sameer and R. Naskar, Blind Image Source Device Identification - Practicality and Challenges, International Journal of Information Security and Privacy, IGI Global, vol. 12, no. 3, article 5, 2018 |
| 10 | V. U. Sameer and R. Naskar, Eliminating the Effects of Illumination Condition in Feature based Camera Model Identification, Journal of Visual Communication and Image Representation, Elsevier, vol. 52, no. 2, pp. 24-32, 2018 |
| 11 | R. Dixit and R. Naskar, Copy-Move Forgery Detection utilizing FMT-Log Polar Features, SPIE Journal of Electronic Imaging, vol. 27, no. 2, 023007, 2018. doi: 10.1117/1.JEI.27.2.023007, 2018 |
| 12 | V. U. Sameer and R. Naskar, K-Unknown Models Detection through Clustering in Blind Source Camera Identification, IET Image Processing, vol. 12, no. 7, pp. 1204–1213, 2018 |
| 13 | J. Bakas, R. Naskar and R. Dixit, Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames, Multimedia Tools and Applications, Springer, vol. 78, no. 4, pp. 4905-4935, 2018, doi: 10.1007/s11042-018-6570-8, 2018 |
| 14 | A. Panda, R. Naskar and S. Pal, Exponential linear unit dilated residual network for digital image denoising, SPIE Journal of Electronic Imaging, vol. 27 no. 5, 053024, 2018. doi: 10.1117/1.JEI.27.5.053024, 2018 |
| 15 | R. Dixit, R. Naskar and S. Mishra, A blur-invariant copy-move forgery detection technique with improved detection accuracy utilizing SWT-SVD, IET Image Processing, vol. 11, no. 5, pp. 301-309, 2017 |
| 16 | R. Dixit and R. Naskar, Review, Analysis and Parameterization of Techniques for Copy-Move Forgery Detection in Digital Images, IET Image Processing, vol. 11, no. 9, pp. 746-759, 2017 |
| 17 | S. Gupta, A. Panda, R. Naskar, D. Mishra and S. Pal, Processing and refinement of steel microstructure images for assisting in computerized heat treatment of plain carbon steel, SPIE Journal of Electronic Imaging, vol. 26, no. 6, 063010, 2017. doi:10.1117/1.JEI.26.6.063010, 2017 |
| 18 | R. Naskar and R. S. Chakraborty, A Technique to Evaluate Upper Bounds on Performance of Pixel-Prediction based Reversible Watermarking Algorithms, Journal of Signal Processing Systems (Springer), vol. 82, no. 3, pp. 373-389, 2016 |
| 19 | V. U. Sameer, Sugumaran S., R. Naskar, Digital Forensic Source Camera Identification with Efficient Feature Selection using Filter, Wrapper and Hybrid Approaches, 12th International Conference on Information Systems Security (ICISS 2016), Jaipur, India. Proceedings published in Lecture Notes in Computer Science, vol. 10063, pp. 409-425, 2016, 2016 |
| 20 | R. Naskar and R. S. Chakraborty, Histogram-Bin-Shifting based Reversible Watermarking for Color Images, IET Image Processing, vol. 7, no. 2, pp. 99-110, 2013 |
| 21 | R. Naskar and R. S. Chakraborty, A Generalized Tamper Localization Approach for Reversible Watermarking Algorithms, ACM Transactions on Multimedia Computing Communications and Applications, vol. 9, no. 3, article 19, 2013 |
| 22 | R. Naskar and R. S. Chakraborty, Performance of Reversible Digital Image Watermarking under Error-prone Data Communication: a Simulation-based Study, IET Image Processing, vol. 6, no. 6, pp. 728-737, 2012 |
| 23 | R. Naskar and R. S. Chakraborty, Reversible Watermarking Utilizing Weighted–median based Prediction, IET Image Processing, vol. 6, no. 5, pp. 507-520, 2012 |
Created: 23 November 2019