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Link to original content: https://doi.org/10.1007/s11042-015-2900-2
Early width estimation of fragmented JPEG with corrupted header | Multimedia Tools and Applications Skip to main content
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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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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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Authors and Affiliations

  1. Graduate School of Information Security, Korea University, Seoul, Korea

    Dessalegn Atnafu Ayalneh & Hyoung Joong Kim

  2. Division of Liberal Arts & Teaching(Multimedia), Sungkyul University, Anyang, Korea

    YongSoo Choi

Authors
  1. Dessalegn Atnafu Ayalneh
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  2. YongSoo Choi
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  3. Hyoung Joong Kim
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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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