Rewritable data insertion in encrypted JPEG using coefficient prediction method

Kuanyew Tan, Koksheik Wong, Simying Ong, Kiyoshi Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

3 Citations (Scopus)

Abstract

This paper proposes a data insertion method using DCT coefficient prediction algorithm in encrypted JPEG image. First, a sequence of quantized AC coefficients are removed, and the remaining nonzero coefficients are shifted to the left, hence ensuring sufficient room for data insertion. Next, the external data is mapped to a set of Huffman codewords, and the external data is inserted into the image by introducing the corresponding Huffman codewords. At the receiver's side, the hidden data can be extracted by referring to the pre-defined table without the need to decrypt the image. To restore the image, the decrypted JPEG image is segmented using the Superpixel function, and further processed using the prediction algorithm for recovering the removed AC coefficients. Experimental results show the recovered images resemble their original counterparts. In the best case scenario, up to 19% compression gain is achieved while 24, 576 bits of external data can be inserted into the image.

Original languageEnglish
Title of host publicationProceedings - Ninth Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
EditorsChang-Su Kim, Wai Lam Hoo
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages214-219
Number of pages6
ISBN (Electronic)9781538615423, 9781538615430
ISBN (Print)9781538615430
DOIs
Publication statusPublished - 2017
EventAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201715 Dec 2017
Conference number: 9th
https://ieeexplore.ieee.org/xpl/conhome/8270695/proceeding (Proceedings)

Conference

ConferenceAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2017
Abbreviated titleAPSIPA ASC 2017
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/12/1715/12/17
Internet address

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