U-NET ARCHITECTURE NEURAL NETWORK FOR LOCALIZATION OF DIGITAL IMAGES INTEGRITY VIOLATION
Annotation
Subject of Research. The paper presents the study of the U-Net architecture neural network applicability to localization problem of image modifications. The implemented method provides the detecting of the modified image and getting a mask of the changed area. Method. The proposed method was based on deep machine learning – a neural network. U-Net neural network architecture was studied. The training dataset was created as a basis for model training with original images and images modified using a graphical editor. The implemented method represents image as a set of pixels. Main Results. The trained model has shown a high level of brightness recognition for image modifications, up to 80 %, and up to 64 % for copy-shift. Practical Relevance. The result can be practically applicable in the forensics for recognition of modified image blocks and for copyright protection.
Keywords
Постоянный URL
Articles in current issue
- EXPERIMENTAL METHOD FOR DETERMINATION OF SHRINKAGE DIRECTION DURING HOLOGRAPHIC RECORDING IN BAYFOL HX PHOTOPOLYMER
- AERIAL MAPPING BASED ON ARRANGEMENT OF OPTICAL ELECTRON CAMERAS
- Koreshev S.N., Starovoitov S.O., Smorodinov D.S., Frolova M.A.QUALITY ASSESSMENT OF BINARY OBJECT IMAGES RECONSTRUCTED BY COMPUTER-GENERATED HOLOGRAMS
- NONDESTRUCTIVE TESTING OF BALTIC AMBER:OPTICAL ANALYSIS OF MACRO- AND MICROSTRUCTURE
- FIBER OPTIC MEASUREMENT SYSTEM FOR DETERMINATION OF EXTENDED OBJECT POSITION AND BENDS IN 3D SPACE
- RECOVERY OF DISCRETE SPECTRA RADIATED BY SUBSTANCE IN DEEP VACUUM USING INTEGRAL APPROXIMATION ALGORITHM
- Omorov R.O.ROBUSTNESS RESEARCH OF INTERVAL DYNAMIC SYSTEMS BY ALGEBRAIC METHOD
- RESEARCH OF VISUAL SIMULTANEOUS LOCALIZATION AND MAPPING-BASED NAVIGATION SYSTEM FOR MOBILE ROBOTS
- REVIEW OF METHODS FOR SIZE AND MORPHOLOGY DETERMINATION OF VESICLES IN NIOSOME DISPERSION
- INFORMATION REPRESENTATION METHODS IN SIMPLE SEMANTIC NETWORKS
- DETERMINISTIC FINITE AUTOMATA USINGCOUNTEREXAMPLE GUIDED ABSTRACTION REFINEMENT
- DISTILLATION OF NEURAL NETWORK MODELS FOR DETECTION AND DESCRIPTION OF IMAGE KEY POINTS
- SOFTWARE PORTABILITY BASED ON RETARGETABLE RUNTIME ENVIRONMENt
- REAL TIME DETECTION AND CLASSIFICATION OF TRAFFIC SIGNS BASED ON YOLO VERSION 3 ALGORITHM (in English)
- U-NET ARCHITECTURE NEURAL NETWORK FOR LOCALIZATION OF DIGITAL IMAGES INTEGRITY VIOLATION
- DETERMINISTIC SYSTEMS WITH NATURAL QUANTIZATION
- TECHNICAL PNEUMOSYSTEM FOR DEVELOPMENT OF DEVICES WITH CERTAIN FUNCTIONAL CAPABILITIES
- STATISTICAL MODELING OF KNEE JOINT GEAR RATIOS
- COMPARISON OF BEAMFORMING ALGORITHMS FOR MICROPHONE ARRAYS IN MATLAB
- QR CODES WITH ANIMATION FOR DIGITAL PASSES
- PHOTOACTINIC IRRADIATION EFFECT ON REFRACTION INDICE OF ORGANIC CO-CRYSTALS BASED ON AMINOPYRIDINE SERIES