Back to articles
Articles
Volume: 28 | Article ID: art00010
Image
Digital inpainting with applications to forensic image processing
  DOI :  10.2352/ISSN.2470-1173.2016.7.MOBMU-289  Published OnlineFebruary 2016
Abstract

With the development of multimedia processing and applications, multiple types of media security and forensic have been broadly taken into consideration. The media data includes audio, video, graphic, image and etc. There are three main applications of the forensic image processing: hiding data, tampering detection and recovering of the digital information. Some artifacts and lost details on the image or video could lead to an erroneous interpretation. The objective of this paper is to ensure the production of quality forensic imagery using digital inpainting. Inpanting in images and videos aims at filling gaps (holes) occur due to instrumentation error, losses of image data during transmission. The holes may correspond to missing parts or removed objects from the scenes (logos, text, etc.). This paper includes brief descriptions of advantages, disadvantages, and potential of inpainting with applications to the forensic image processing. We present an image inpainting method based on the texture and structure propagation. It is shown that this approach allows restoring a fingerprint, missing blocks and removing a text from the scenes. Several examples considered in this paper show the effectiveness of the proposed approach for large objects removal as well as recovery of small regions on several test images and videos.

Subject Areas :
Views 25
Downloads 1
 articleview.views 25
 articleview.downloads 1
  Cite this article 

Voronin V.V., Marchuk V.I., Semenishchev E.A., Makov S.V., Creutzburg R., "Digital inpainting with applications to forensic image processingin Proc. IS&T Int’l. Symp. on Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.7.MOBMU-289

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA