Dr. PNRL Chandra Sekhar done his PhD in Image Forensics from KL Deemed to be University. His research interests are in Image Processing, Computer Vision, Image Forensics and Machine Learning
Research Publications
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An object-based splicing forgery detection using multiple noise features, https://doi.org/10.1007/s11042-023-16534-z - from Multimedia Tools and Applications (Q1)
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Effective splicing localization based on noise level inconsistencies, https://doi.org/10.3233/JIFS-189861 - Journal of Intelligent & Fuzzy Systems (IOS Press) – Scopus, SCIE (Q2)
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Splicing forgery localisation using colour illumination inconsistencies, https://doi.org/10.1504/IJESDF.2021.114956 - International Journal of Electronic Security and digital forensics (Inderscience) - Scopus, Wos (Q2)
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Object Based Image Splicing Localization Using Block artifitial Grids, http://dx.doi.org/10.14569/IJACSA.2020.0111164 - International Journal of Advanced Computer Science and Applications – Scopus, Wos (Q3)
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Automatic Recognition of Helmetless Bike Rider License Plate Using Deep Learning, https://doi.org/10.1007/978-981-33-6862-0_37 - Advances in Intelligent Systems and Computing
Expertise
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Compiler Design, Formal Languages & Automata theory, Data Structures, Image Processing, Database Management systems