NDLI: Image splicing detection with local illumination estimation

Content Provider	IEEE Xplore Digital Library
Author	Yu Fan Carre, P. Fernandez-Maloigne, C.
Copyright Year	2015
Description	Author affiliation: SIC Dept., Univ. of Poitiers, Poitiers, France (Yu Fan; Carre, P.; Fernandez-Maloigne, C.)
Abstract	Splicing operation is a common technique used for image forgery. In this paper, we propose a new method for detecting the image splicing by revealing inconsistencies of the illuminant color in the object regions. For this, we first divide a given image into some horizontal and vertical bands. After that, the illuminant of each band is estimated with the generalized grey-world algorithms. For each illuminant estimation algorithm, the fake patches produced by computing the intersection between the forged horizontal and vertical bands are represented in a forgery detection map. Finally the spliced regions are shown by combining all splicing detection maps. Our proposed method is validated with several test cases. Additionally, we compare the performance of our method with two existing methods on the dataset CASIA V2.0. The results show that the proposed method works well with minimal human interaction.
Starting Page	2940
Ending Page	2944
File Size	1024477
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351341
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Estimation Splicing Forgery Lighting Light sources Digital images generalized grey-word algorithms Image splicing illuminant color
Content Type	Text
Resource Type	Article

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