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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Selective Image Authentication Using Shearlet Coefficients Tolerant to JPEG Compression

DOI: http://dx.doi.org/10.15439/2017F177

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 681–688 ()

Full text

Abstract. A novel selective image authentication system based on the robust digital watermarking and image content describing by shearlet coefficients is proposed. The discrete shearlet transform is performed in order to extract feature vector from the image. Cone-adapted version of the discrete shearlet transform which allows to calculate coefficients more precisely and to cover all $\mathbb{R}^2$ is used. Proposed approach allows to use conventional cryptographic digital signature for the image feature vector verification and makes proposed scheme more secure. In order to embed watermark (WM) into the image, HL3 and LH3 areas of the Haar wavelet transform coefficients are used. Experimental results show that the proposed selective image authentication system is effective in terms of tolerance to JPEG compression, malicious image tampering detection and visual image quality just after embedding.

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