Ruchira Naskar
Ruchira Naskar
Ph.D., IIT Kharagur
Verified email at nitrkl.ac.in - Homepage
Title
Cited by
Cited by
Year
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
352017
Reversible watermarking utilising weighted median-based prediction
R Naskar, RS Chakraborty
IET Image Processing 6 (5), 507-520, 2012
272012
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
202017
Histogram-bin-shifting-based reversible watermarking for colour images
R Naskar, RS Chakraborty
IET Image Processing 7 (2), 99-110, 2013
192013
Improved histogram bin shifting based reversible watermarking
P Nagarju, R Naskar, RS Chakraborty
2013 International Conference on Intelligent Systems and Signal Processing …, 2013
182013
A generalized tamper localization approach for reversible watermarking algorithms
R Naskar, RS Chakraborty
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
142013
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
122017
Digital forensic technique for double compression based JPEG image forgery detection
P Malviya, R Naskar
International Conference on Information Systems Security, 437-447, 2014
122014
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
112017
Reversible image watermarking through coordinate logic operation based prediction
R Naskar, RS Chakraborty
International Conference on Information Systems Security, 190-203, 2011
102011
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
82012
Copy–move forgery detection utilizing Fourier–Mellin transform log-polar features
R Dixit, R Naskar
Journal of Electronic Imaging 27 (2), 023007, 2018
72018
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
62019
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
62018
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
62018
Reversible digital watermarking: Theory and practices
R Naskar, RS Chakraborty
Synthesis Lectures on Information Security, Privacy, & Trust 5 (1), 1-130, 2014
62014
Copy-move forgery detection exploiting statistical image features
R Dixit, R Naskar, A Sahoo
2017 International Conference on Wireless Communications, Signal Processing …, 2017
52017
Copy-Move Forgery Detection with Similar But Genuine Objects
A Roy, R Dixit, R Naskar, RS Chakraborty
Digital Image Forensics, 65-77, 2020
42020
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
42018
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
42017
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