Proceedings ArticleDOI
Splicing localization in motion blurred 3D scenes
Kuldeep Purohit,A. N. Rajagopalan +1 more
- pp 3922-3926
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TLDR
An automatic and computationally efficient scheme to estimate the camera motion using only the blur kernels from authentic region and utilizes 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.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.read more
Citations
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Journal ArticleDOI
Image Forgery Detection Based on Motion Blur Estimated Using Convolutional Neural Network
TL;DR: A convolutional neural network-based motion blur kernel reliability estimation method is used to determine whether an image patch should be involved in the image forgery detection process, and a consistency propagation method is proposed to localize tampered regions efficiently.
References
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Non-uniform Deblurring for Shaken Images
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