International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 125 | Views: 187

Review Papers | Computer Science & Engineering | India | Volume 6 Issue 3, March 2017 | Rating: 7 / 10


Source Camera Detection Techniques to Remove Dust Particles - A Review

Kruttika Pillay | Shubhangi Moon


Abstract: Due to fast advances and availabilities of powerful image process software's, it's straightforward to govern and modify digital pictures. It's become terribly straightforward to change digital pictures and build tampered pictures that are troublesome to differentiate pictures from that original manifest picture. For digital images to be used as proof in law problems or to be circulated in mass media, it's necessary to examine the legitimacy of the image. With the assistance of digital rhetorical it's detected that whether or not the image if amendment or not. Varied technique is employed to observe the forgery of image. Pixel-based techniques that observe applied mathematics anomalies introduced at the component level, format-based techniques that leverage the applied mathematics correlations introduced by a particular lossy compression theme, camera-based techniques that exploit artefacts introduced by the optical lens, sensor, or on-chip post-processing, physically primarily based techniques that expressly model and observe anomalies within the 3 dimensional interaction between physical objects, light, and therefore the camera, geometric-based techniques that create measurements of objects within the world and their positions relative to the camera. We will work on Camera-based technique to observe the forgery with the assistance of dirt analysis methodology. With the assistance of dirt particles that is gathered over a lens system of camera it's detected that source camera is employed to click the image and whether or not forgery is happened or not.


Keywords: Digital forensic, forgery of image, pixel-based technique, format-based techniques, camera-based techniques, Source camera


Edition: Volume 6 Issue 3, March 2017,


Pages: 1052 - 1054


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