The novel technique for the detection and removal of dust patterns from the image in source camera identification

International Journal of Computer & Organization Trends  (IJCOT)          
© 2016 by IJCOT Journal
Volume - 6 Issue - 4
Year of Publication : 2016
Authors : Manpreet Kaur, Reecha Sharma
DOI : 10.14445/22492593/IJCOT-V34P313


Manpreet Kaur, Reecha Sharma"The novel technique for the detection and removal of dust patterns from the image in source camera identification", International Journal of Computer & organization Trends (IJCOT), V6(4):9-13 Jul - Aug 2016, ISSN:2249-2593, Published by Seventh Sense Research Group.

AbstractThe source camera identification is the technique to identify all the information related to the camera through which the picture is clicked. The quality of the picture depends upon the camera lens and the color combinations. This issue can be seen in the image forensics. The quality of the image gets reduced when noise get raised on the image. The noise on the image gets raised when dust particles are there on the camera lens. In this work, algorithm is proposed which helps to detect the dust patterns from the image. The proposed algorithm will generate patterns from the detected dust particles and simulation is performed in MATLAB and results show the proposed technique performance well in terms of PSNR and MSE.


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Source camera identification, Dust patterns, Itti Koch, PSNR, MSE.