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Splicing localization in motion blurred 3D scenes
Kuldeep Purohit,
Published in IEEE Computer Society
2016
Volume: 2016-August
   
Pages: 3922 - 3926
Abstract
We propose a passive forgery detection technique for locating spliced regions in motion blurred images of 3D scenes. We consider general camera motion in hand-held cameras and utilize discrepancies in local motion blur patterns as a cue for splicing detection. We first devise an automatic and computationally efficient scheme to estimate the camera motion using only the blur kernels from authentic region. Next, we utilize the relationship among blur kernels, camera trajectory and local depth to predict a set of authentic blur kernels for any depth map to directly flag spliced regions. © 2016 IEEE.
About the journal
JournalData powered by TypesetProceedings - International Conference on Image Processing, ICIP
PublisherData powered by TypesetIEEE Computer Society
ISSN15224880
Open AccessNo
Concepts (14)
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    CABLE JOINTING
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    Cameras
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    Linear transformations
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    Motion estimation
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    Three dimensional computer graphics
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    CAMERA-MOTION ESTIMATION
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    Computationally efficient
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    FORGERY DETECTIONS
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    Motion blur
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    MOTION BLURRED IMAGE
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    PASSIVE FORGERY DETECTIONS
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    SPLICING LOCALIZATIONS
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    Transformation matrices
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    Image processing