DCT-based robust image hashing

Supakorn Prungsinchai; Fouad Khelifi; Ahmed Bouridane

DCT-based robust image hashing

Supakorn Prungsinchai, Fouad Khelifi, Ahmed Bouridane

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes a robust image hashing technique based on the sign of coefficients in the Discrete Cosine Transforms (DCT) domain. The idea consists of exploiting the energy compaction property of the DCT and its ability to carry information of edges and texture in DCT sign values. It has been shown that the DCT sign-based hashing technique offers an excellent robustness against signal processing operations and geometric attacks and outperforms the conventional DCT-based image hashing technique.

Original language	English
Publication status	Published - 9 Sept 2012
Externally published	Yes
Event	6th International Conference on Software Knowledge Information Management and Applications (SKIMA 2012) - Chengdu University, China Duration: 9 Sept 2012 → …

Conference

Conference	6th International Conference on Software Knowledge Information Management and Applications (SKIMA 2012)
Period	9/09/12 → …

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title = "DCT-based robust image hashing",

abstract = "This paper proposes a robust image hashing technique based on the sign of coefficients in the Discrete Cosine Transforms (DCT) domain. The idea consists of exploiting the energy compaction property of the DCT and its ability to carry information of edges and texture in DCT sign values. It has been shown that the DCT sign-based hashing technique offers an excellent robustness against signal processing operations and geometric attacks and outperforms the conventional DCT-based image hashing technique.",

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AU - Prungsinchai, Supakorn

AU - Khelifi, Fouad

AU - Bouridane, Ahmed

PY - 2012/9/9

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N2 - This paper proposes a robust image hashing technique based on the sign of coefficients in the Discrete Cosine Transforms (DCT) domain. The idea consists of exploiting the energy compaction property of the DCT and its ability to carry information of edges and texture in DCT sign values. It has been shown that the DCT sign-based hashing technique offers an excellent robustness against signal processing operations and geometric attacks and outperforms the conventional DCT-based image hashing technique.

AB - This paper proposes a robust image hashing technique based on the sign of coefficients in the Discrete Cosine Transforms (DCT) domain. The idea consists of exploiting the energy compaction property of the DCT and its ability to carry information of edges and texture in DCT sign values. It has been shown that the DCT sign-based hashing technique offers an excellent robustness against signal processing operations and geometric attacks and outperforms the conventional DCT-based image hashing technique.

M3 - Paper

T2 - 6th International Conference on Software Knowledge Information Management and Applications (SKIMA 2012)

Y2 - 9 September 2012

ER -

DCT-based robust image hashing

Abstract

Conference

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