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Early width estimation of fragmented JPEG with corrupted header

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Abstract

In transformed and compressed domain fragmented files are very difficult to recover using conventional file recovery software. JPEG images are forensically important file format due to its popularity in a wide area of applications. In JPEG compression the header keeps important parameters that are required to decode the image back to pixel domain. In this paper the detection of width and height of an image from the JPEG stream is improved with less assumptions than previous papers. In the old approaches it was assumed that information about the image like Huffman table, Reset (RST) value and Quantization table were readily available for the techniques to work. However, in this paper the width is extracted from the quantized AC values that reduce the assumptions to just Huffman table.

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References

  1. Amigoni F, Gazzani S, Podico S (2003) A method for reassembling fragments in image reconstruction. In: Proceedings of the 2003 International conference on image processing, ICIP, vol. 3. IEEE

  2. Ayalneh Dessalegn A, Joong Kim H, Choi YS (2013) Width extraction of JPEG fragment with a missing header. 1498–1500

  3. Calhoun WC, Coles D (2008) Predicting the types of file fragments. Digit Invest 5:S14–S20

    Article  Google Scholar 

  4. Garfinkel SL (2007) Carving contiguous and fragmented files with fast object validation. Digit Invest 4:2–12

    Article  Google Scholar 

  5. Huang L et al (2013) A method of approximately reconstructing JPEG quantization table via saturated overflow. In: 2012 International conference on graphic and image processing. international society for optics and photonics

  6. Karresand M, Shahmehri N (2006) Oscar-file type identification of binary data in disk clusters and ram pages. Security and privacy in dynamic environments. Springer, US, pp 413–424

    Google Scholar 

  7. Karresand M, Shahmehri N (2006) File type identification of data fragments by their binary structure. Information assurance workshop, 2006 IEEE. IEEE

  8. Li Q et al (2011) Content based JPEG fragmentation point detection. In: 2011 IEEE international conference on multimedia and expo (ICME). IEEE

  9. Lin G-S, Chang M-K, Chen Y-L (2009) Image forgery detection based on quantization table estimation. MVA

  10. Memon N, Pal A (2006) Automated reassembly of file fragmented images using greedy algorithms. IEEE Trans Image Process 15.2:385–393

    Article  Google Scholar 

  11. Mohamad KM, Deris MM (2009) Fragmentation point detection of JPEG images at DHT using validator. Future generation information technology. Springer, Berlin Heidelberg, pp 173–180

    Google Scholar 

  12. Pal A, Sencar HT, Memon N (2008) Detecting file fragmentation point using sequential hypothesis testing. Digit Invest 5:S2–S13

    Article  Google Scholar 

  13. Saharan R, Singh CV (2011) Reassembly of 2D fragments in image reconstruction. Int J Comput Appl 19.5:41–45

    Google Scholar 

  14. Sencar HT, Memon N (2009) Identification and recovery of JPEG files with missing fragments 6:S88–S98

  15. Wu X et al (2014) A new method for estimating the widths of JPEG images. arXiv:1410.2100

  16. Ye S, Sun Q, Chang E-C (2007) Detecting digital image forgeries by measuring inconsistencies of blocking artifact. In: 2007 IEEE international conference on multimedia and expo. IEEE

  17. Ye X, Xu M (2010) Width extraction of JPEG fragment via frequency coefficients scale similarity measuring. In: 2010 2nd International conference on future computer and communication (ICFCC), vol 2. IEEE

Download references

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(No. 2013R1A1A1013410).

This work was also supported by the Technology Innovation Program (no.10050653, Research-standardiza?tion project for multimedia Integrity verification via reversible data hiding technique), funded By the Ministry of Trade, industry & Energy(MI, Korea). This research was supported by Korea University.

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Correspondence to YongSoo Choi.

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Ayalneh, D., Choi, Y. & Kim, H. Early width estimation of fragmented JPEG with corrupted header. Multimed Tools Appl 75, 14669–14684 (2016). https://doi.org/10.1007/s11042-015-2900-2

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  • DOI: https://doi.org/10.1007/s11042-015-2900-2

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