| Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD R Dixit, R Naskar, S Mishra IET Image Processing 11 (5), 301-309, 2017 | 35 | 2017 |
| Reversible watermarking utilising weighted median-based prediction R Naskar, RS Chakraborty IET Image Processing 6 (5), 507-520, 2012 | 27 | 2012 |
| Review, analysis and parameterisation of techniques for copy–move forgery detection in digital images R Dixit, R Naskar IET Image Processing 11 (9), 746-759, 2017 | 20 | 2017 |
| Histogram-bin-shifting-based reversible watermarking for colour images R Naskar, RS Chakraborty IET Image Processing 7 (2), 99-110, 2013 | 19 | 2013 |
| Improved histogram bin shifting based reversible watermarking P Nagarju, R Naskar, RS Chakraborty 2013 International Conference on Intelligent Systems and Signal Processing …, 2013 | 18 | 2013 |
| A generalized tamper localization approach for reversible watermarking algorithms R Naskar, RS Chakraborty ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013 | 14 | 2013 |
| Camera source identification using discrete cosine transform residue features and ensemble classifier A Roy, RS Chakraborty, U Sameer, R Naskar 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2017 | 12 | 2017 |
| Digital forensic technique for double compression based JPEG image forgery detection P Malviya, R Naskar International Conference on Information Systems Security, 437-447, 2014 | 12 | 2014 |
| Deep learning based counter–forensic image classification for camera model identification VU Sameer, R Naskar, N Musthyala, K Kokkalla International Workshop on Digital Watermarking, 52-64, 2017 | 11 | 2017 |
| Reversible image watermarking through coordinate logic operation based prediction R Naskar, RS Chakraborty International Conference on Information Systems Security, 190-203, 2011 | 10 | 2011 |
| Performance of reversible digital image watermarking under error-prone data communication: a simulation-based study R Naskar, RS Chakraborty IET image processing 6 (6), 728-737, 2012 | 8 | 2012 |
| Copy–move forgery detection utilizing Fourier–Mellin transform log-polar features R Dixit, R Naskar Journal of Electronic Imaging 27 (2), 023007, 2018 | 7 | 2018 |
| Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames J Bakas, R Naskar, R Dixit Multimedia Tools and Applications 78 (4), 4905-4935, 2019 | 6 | 2019 |
| Eliminating the effects of illumination condition in feature based camera model identification US Venkata, R Naskar Journal of Visual Communication and Image Representation 52, 24-32, 2018 | 6 | 2018 |
| K-unknown models detection through clustering in blind source camera identification VU Sameer, S Sugumaran, R Naskar IET Image Processing 12 (7), 1204-1213, 2018 | 6 | 2018 |
| Reversible digital watermarking: Theory and practices R Naskar, RS Chakraborty Synthesis Lectures on Information Security, Privacy, & Trust 5 (1), 1-130, 2014 | 6 | 2014 |
| Copy-move forgery detection exploiting statistical image features R Dixit, R Naskar, A Sahoo 2017 International Conference on Wireless Communications, Signal Processing …, 2017 | 5 | 2017 |
| Copy-Move Forgery Detection with Similar But Genuine Objects A Roy, R Dixit, R Naskar, RS Chakraborty Digital Image Forensics, 65-77, 2020 | 4 | 2020 |
| A Digital Forensic Technique for Inter–Frame Video Forgery Detection Based on 3D CNN J Bakas, R Naskar International Conference on Information Systems Security, 304-317, 2018 | 4 | 2018 |
| Processing and refinement of steel microstructure images for assisting in computerized heat treatment of plain carbon steel S Gupta, A Panda, R Naskar, DK Mishra, S Pal Journal of Electronic Imaging 26 (6), 063010, 2017 | 4 | 2017 |
