Quantization based watermarking approach with gain attack recovery

Yevhen Zolotavkin, Martti Juhola

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

2 Citations (Scopus)


A new Quantization Index Modulation-based watermarking approach is proposed in this paper. With the aim to increase capacity of the watermarking channel with noise we propose Initial Data Loss during quantization for some samples in pre-defined positions. Also, the proposed approach exploits a new form of distribution of quantized samples where samples that interpret "0" and "1" have differently shaped probability density functions. This creates a distinctive feature which is expressed numerically using one out of two proposed criteria. The criteria are utilized by a procedure for recovery after possible Gain Attack. Several state of the art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.

Original languageEnglish
Title of host publication2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Subtitle of host publicationWollongong, New South Wales, Australia, 25-27 November 2014
EditorsAbdesselem Bouzerdoum, Lei Wang, Philip Ogunbona, Wanging Li, Son Lam Phung
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781479954094
ISBN (Print)9781479954094
Publication statusPublished - 2014
Externally publishedYes
EventDigital Image Computing Techniques and Applications 2014 - Wollongong, Australia
Duration: 25 Nov 201427 Nov 2014
Conference number: 16th
https://ieeexplore.ieee.org/xpl/conhome/7005557/proceeding (Proceedings)


ConferenceDigital Image Computing Techniques and Applications 2014
Abbreviated titleDICTA 2014
Internet address

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