Ruchira Naskar
Ruchira Naskar
Associate Professor, IIEST Shibpur, Former Assistant Professor, NIT Rourkela, Ph.D., IIT Kharagpur
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Cited by
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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
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
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
Automated image splicing detection using deep CNN-learned features and ANN-based classifier
S Nath, R Naskar
Signal, Image and Video Processing 15 (7), 1601-1608, 2021
Reversible watermarking utilising weighted median-based prediction
R Naskar, RS Chakraborty
IET Image Processing 6 (5), 507-520, 2012
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
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
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
A generalized tamper localization approach for reversible watermarking algorithms
R Naskar, RS Chakraborty
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
Deep siamese network for limited labels classification in source camera identification
VU Sameer, R Naskar
Multimedia Tools and Applications 79 (37), 28079-28104, 2020
Histogram‐bin‐shifting‐based reversible watermarking for colour images
R Naskar, R Subhra Chakraborty
IET Image Processing 7 (2), 99-110, 2013
Copy-move forgery detection exploiting statistical image features
R Dixit, R Naskar, A Sahoo
2017 international conference on wireless communications, signal processing …, 2017
Improved histogram bin shifting based reversible watermarking
P Nagarju, R Naskar, RS Chakraborty
2013 International Conference on Intelligent Systems and Signal Processing …, 2013
Computer vision approach for phase identification from steel microstructure
A Choudhury, S Pal, R Naskar, A Basumallick
Engineering Computations 36 (6), 1913-1933, 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
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
Digital image forensics
A Roy, R Dixit, R Naskar, RS Chakraborty
Springer, 2020
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
Reversible digital watermarking: theory and practices
R Naskar, RS Chakraborty
Morgan & Claypool Publishers, 2014
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
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