Title
Detecting non-stereoscopic to stereoscopic image splicing with the use of disparity maps
Abstract
Splicing is a common image manipulation technique, where the content of more than one image is combined to form a composite image. With recent developments in image editing software, almost anyone can splice images. Splicing can be used to tamper with photographs to depict an event that never occurred. With the developments in digital stereoscopic (3D) cameras and images, it has become a necessity to be able to detect splicing in stereoscopic images. Several techniques have been developed to help a digital forensic investigator identify spliced digital images. However, there is a lack of research on exploiting depth information when detecting splicing in stereoscopic images. This paper proposes a technique to detect simple non-stereoscopic to stereoscopic splicing with the aid of disparity maps. An experiment was performed to test the technique on 35 spliced stereoscopic images. Results indicate that the proposed technique could be used to aid detection. However, detected areas require post-investigation to confirm splicing.
Year
DOI
Venue
2011
10.1145/2072221.2072255
SAICSIT Conf.
Keywords
Field
DocType
depth information,common image manipulation technique,disparity map,spliced stereoscopic image,digital image,proposed technique,composite image,stereoscopic image,image editing software,detecting non-stereoscopic,digital forensic investigator,digital stereoscopic,digital forensics,stereo,splicing
Computer vision,Digital forensics,Stereoscopy,Computer science,Composite image filter,Digital image,Image splicing,Artificial intelligence,RNA splicing,Graphics software,Digital image processing
Conference
Citations 
PageRank 
References 
1
0.37
10
Authors
2
Name
Order
Citations
PageRank
Mark-Anthony Fouché110.37
Martin S. Olivier246573.94