SPLICING LOCALIZATION IN MOTION BLURRED 3D SCENES

被引：0

作者：

Purohit, Kuldeep ^{[1
]}

Rajagopalan, A. N. ^{[1
]}

机构：

[1] Indian Inst Technol Madras, Dept Elect Engn, Madras, Tamil Nadu, India

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年

关键词：

Splicing; motion blur; forgery detection; transformation matrix; camera motion estimation; BLIND DECONVOLUTION; IMAGES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：3922 / 3926

页数：5

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