Effective splicing localization based on noise level inconsistencies

In the era of digital technology, it becomes easy to share photographs and videos using smartphones and social networking sites to their loved ones. On the other hand, many photo editing tools evolved to make it effortless to alter multimedia content. It makes people accustomed to modifying their ph...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2021-01, Vol.41 (5), p.5387-5397
Main Authors: Chandra Sekhar, P. N. R. L., Shankar, T. N.
Format: Article
Language:English
Subjects:
Feature extraction
Forensic computing
Multimedia
Noise
Noise levels
Object recognition
Smartphones
Splicing
Video
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Summary:In the era of digital technology, it becomes easy to share photographs and videos using smartphones and social networking sites to their loved ones. On the other hand, many photo editing tools evolved to make it effortless to alter multimedia content. It makes people accustomed to modifying their photographs or videos either for fun or extracting attention from others. This altering brings a questionable validity and integrity to the kind of multimedia content shared over the internet when used as evidence in Journalism and Court of Law. In multimedia forensics, intense research work is underway over the past two decades to bring trustworthiness to the multimedia content. This paper proposes an efficient way of identifying the manipulated region based on Noise Level inconsistencies of spliced mage. The spliced image segmented into irregular objects and extracts the noise features in both pixel and residual domains. The manipulated region is then exposed based on the cosine similarity of noise levels among pairs of individual objects. The experimental results reveal the effectiveness of the proposed method over other state-of-art methods.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-189861