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

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

MLA

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, www.ijcotjournal.org. 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.

References-

[1] Boris Epshtein, E. O, "Detecting Text in Natural Scenes with Stroke Width Transform", IEEE Conference, 2963- 2970, 2010
[2] Chong yu, y. S., "Text detection and recoginition in natural scene with edge analysis", IET Computer Vision , 9 (4), 2015
[3] Gaurav Jaswal , Amit Kaul ,” Content Based Image Retrieval – A Literature Review”, 2009 NCCC [4] Honggang Zhang, K. Z.-Z. , " Text extraction from natural scene image: A survey", Neurocomputing , 310-323.
[5] Honggang Zhang, Kaili Zhao, Yi-Zhe Song, Jun Guo,” Text extraction from natural scene image: A survey”, 2013 NEUCOM13479
[6] Huizhong Chen, S. S., "Robust Text Detection in Natural images With Edge Enhanced maximally Stable Extremal regions", 18th IEEE International Conference (pp. 2609- 2612) Image Processing (ICIP), 2011
[7] Sandeep Sharma and Jai Prakash, “A Survey of Image to Text Detection Methodology”, 1998
[8] Prof. N.N. Khalsa1, Prof. S.G. Kavitkar, Nagendra.G.Kushwaha, “A Literature Review on Variation in Text and Different methods for Text Detection in Images and Videos”, 2015 IJIRCCE
[9] Mona Saudagar1, S. V. Jain,” A study of multi-oriented text recognition in natural scene images”, 2014 IJARCCE [10] Shashi Kant, Sini Shibu,” Segmentation Framework for Multi-Oriented Text Detection and Recognition“, 2015 IJEDR
[11] Xiangui Kang, Jiansheng Chen, Kerui Lin and Peng Anjie,” A context-adaptive SPN predictor for trustworthy source camera identification”, 2014 EURASIP Journal on Image and Video Processing
[12] M. Prabaharan1, K. Radha,” Text Extraction from Natural Scene Images and Conversion to Audio in Smart Phone Applications”, 2015 IJIRCCE

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