Ruchira Naskar
Ruchira Naskar
Ph.D., IIT Kharagpur, Assistant Professor, IIEST Shibpur
Verified email at - Homepage
Cited by
Cited by
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
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
Reversible watermarking utilising weighted median-based prediction
R Naskar, RS Chakraborty
IET Image Processing 6 (5), 507-520, 2012
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, 4905-4935, 2019
Camera Source Identification Using Discrete Cosine Transform Residue Features and Ensemble Classifier.
A Roy, RS Chakraborty, VU Sameer, R Naskar
CVPR workshops, 1848-1854, 2017
A digital forensic technique for inter–frame video forgery detection based on 3D CNN
J Bakas, R Naskar
Information Systems Security: 14th International Conference, ICISS 2018 …, 2018
A generalized tamper localization approach for reversible watermarking algorithms
R Naskar, RS Chakraborty
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
Histogram‐bin‐shifting‐based reversible watermarking for colour images
R Naskar, R Subhra Chakraborty
IET Image Processing 7 (2), 99-110, 2013
Automated image splicing detection using deep CNN-learned features and ANN-based classifier
S Nath, R Naskar
Signal, Image and Video Processing 15, 1601-1608, 2021
Copy-move forgery detection with similar but genuine objects
A Roy, R Dixit, R Naskar, RS Chakraborty, A Roy, R Dixit, R Naskar, ...
Digital Image Forensics: Theory and Implementation, 65-77, 2020
Improved histogram bin shifting based reversible watermarking
P Nagarju, R Naskar, RS Chakraborty
2013 International Conference on Intelligent Systems and Signal Processing …, 2013
Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis
J Bakas, R Naskar, S Bakshi
Computers & Electrical Engineering 89, 106929, 2021
Region duplication detection in digital images based on Centroid Linkage Clustering of key–points and graph similarity matching
R Dixit, R Naskar
Multimedia Tools and Applications 78, 13819-13840, 2019
Copy-move forgery detection exploiting statistical image features
R Dixit, R Naskar, A Sahoo
2017 International Conference on Wireless Communications, Signal Processing …, 2017
Deep learning based counter–forensic image classification for camera model identification
VU Sameer, R Naskar, N Musthyala, K Kokkalla
Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 …, 2017
Deep siamese network for limited labels classification in source camera identification
VU Sameer, R Naskar
Multimedia Tools and Applications 79, 28079-28104, 2020
Computer vision approach for phase identification from steel microstructure
A Choudhury, S Pal, R Naskar, A Basumallick
Engineering Computations, 2019
Classification of Computer Generated and Natural Images based on Efficient Deep Convolutional Recurrent Attention Model.
DB Tariang, P Senguptab, A Roy, RS Chakraborty, R Naskar
CVPR Workshops, 146-152, 2019
Reversible digital watermarking: theory and practices
R Naskar, RS Chakraborty
Synthesis Lectures on Information Security, Privacy, & Trust 5 (1), 1-130, 2014
Digital forensic technique for double compression based JPEG image forgery detection
P Malviya, R Naskar
Information Systems Security: 10th International Conference, ICISS 2014 …, 2014
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