Interpolation Techniques in Image Resampling

  • Authors

    • Manjunatha. S Malini
    • M Patil
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.34.19383
  • Digital image forgery detection, Resampling, Image interpolation, Tampering, forensics.
  • The procedure of converting a sampled image from any coordinate structure to other structure is called Image Resampling. When forgeries are introduced in digital images, generally the operations like rotation, resizing, skewing etc., are included to make it relational with respect to adjacent original area.  So there is a recognizable loss in the quality of the image and it will become an important signature of manipulated images. Hence resampling is the default interpretation present in most of the tamped image. Resampling detection is an attractive standard tool in digital image forensics. Generally resampling objects are not visible to human eye in an altered images but periodic relationships get familiarized in image pixels. Because of it the changes is going to happen in certain characteristics of the image and it is going leaving behind periodical artifacts which are used as fingerprints for the forensics. These periodic interpolation objects present in the intensities of pixels  or other format of data illustration such as DFT, wavelet are the structures which detectors look for in order to decide whether an image, or a part of an image, has endured a geometrical transformation. This serves as an evidence of manipulation or tampering. This paper gives comparative study of different resampling techniques like Cubic Splines, Nearest Neighbor, Cubic convolution and Linear Interpolation, which can be used as detectors for an altered image containing resample portions

     

  • References

    1. [1] Alessandro Piva, “An Over view on Image Forensics “Hindawi Publishing Corportion ISRN Signal Porcessing, Volume 2013, Article ID 496701, 22 pages, Nonember 2012.

      [2] Henry Farid, “Image Forgery Detectionâ€, IEEE Signal Processing Magazine, March 2007.

      [3] S. Manjunanatha, Dr Malini M Patil.â€A Survey on Image forgery Deection Techniques†CiiT International Journal of Digital Image Processing, Vol 9, No 5, May 2017

      [4] Alin. C. Popescu and H. Farid, “Exposing digital forgeries by detecting traces of Re-sampling,†IEEE Trans. Signal Processing, vol. 53, no. 2, pp. 758–767, 2005

      [5] A.C. Popescu and H. Farid, “Exposing digital forgeries by detecting duplicated image regions,†Dept. Computer. Sci., Dartmouth College, Tech. Rep. TR2004-515, 2004.

      [6] Shu-ping Li, Zhi Han, Yi-zhen Chen, Bo Fu, Chunhui Lu, Xiaohui Yao,â€resampling Forgery detection in JPEG-Compressed Images’, 3rd International Congress on Image and Signal Processing(CISP2010), 2010.

      [7] Pankaj S, Parsania, Dr. Paresh V. Virparia, “A Review: Image interpolation Techniques for Image Scaling†, International Journal of Innovative Research in Compuiter and Communication Engineering, Volume 2, Issue 12, december 2014.

      [8] Anthony Parker, Robert V. Kenyon, Donald e. Troxel, “Comprision of Interpolating Methods for Image Resampling†IEEE Transactions on Medical Imageing, Volume MI-2, No.1, March 1983.

      [9] Seyed Hamid Shekarforoush, Robert Green, and Robert Dyer, “Classifying Commit Messages: A cse study in Resampling Techniquesâ€, IEEE Transactions , 2017.

      [10] Philippe Thévenaz, Thierry Blu and Michael Unser Swiss Federal Institute of Technology—Lausanne, “Image Interpolation and Resamplingâ€,2017.

      [11] S. Bayram, I. Avcibas, B. Sankur, and N. Memon, “Image manipulation detection,†J. Electron. Imaging, vol. 15, no. 4, p. 41102, 2006.

      [12] Dianyuan Han, Dept. of Computer Engineering, wei Fang University Shandong, China,â€Comparision of Commnoly used Image Intepolation Methodsâ€, 2nd International conference on computer science and Electronics engineering, 2013.

      [13] Jason Bunk, Jawadul H. Bappy, etl, “Detection andLOcalization of Image Forgeries using Resampling Features and Deep learningâ€, 2017 IEEE Conference on computer Vision and pattern Recognition Workshops.

      [14] Vaishali Patel, Prof. Kinjal Mistree,â€A Review on different Image Interpolation Techniques for Image enhancementâ€, International Journal of emerging Technology and Advanced Engineering, Volume 3, Issue 12, december 2010.

      [15] Matthias Kirchner and Rainer Bohme, “Hiding Traces of Resampling in digital Imagesâ€, IEEE Transactions on Inofrmation forensics and Security, volume 3, No. 4, december 2008.

      [16] Songpon Teerakanok, Tetsutaro Uehara,â€digital Media Tampering Detection Techniques: An Overviewâ€, 2017 IEEE 41st Annual computer software and Application Conference,

      [17] Nahuel Dalgaard, Carlos Mosquera, Fernando Perez-Ganzalez, “On the Role of Differentiation for Resampling Detectionâ€, Proceedings of 2010 IEEE 17th International conference on Image Processing. September -2010.

      [18] Shreyas Fadvavis, Pune University, India, “Image Interpolation Techniques in Digital Image Proessing: An Overviewâ€, Instituete of journal of Engineering Research and Applilcation, ISSN: 2248-9622, Volume 4, Issue 10, October 2014, PP. 70-73.

      [19] Prasad D, Ek.R. Ramaksrishnan ,IISc. Bengaluru, India, â€On Resampling Detection and its Application to Detect Image Tamperingâ€, IEEE, ICME 2006. Page No. 1325-1328.

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  • How to Cite

    S Malini, M., & Patil, M. (2018). Interpolation Techniques in Image Resampling. International Journal of Engineering & Technology, 7(3.34), 567-570. https://doi.org/10.14419/ijet.v7i3.34.19383