Robustness analysis of blind watermarking for quality scalable image compression

Deepayan Bhowmik, G. Abhayaratne, Matthew Oakes
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引用次数: 1

Abstract

Robustness analysis of a blind wavelet based ranked-ordered watermarking scheme against quality scalable image compression is presented in this paper. The analysis considers a general wavelet-based compression scheme by modeling the bit-plane discarding, used in achieving quality scalability in JPEG2000. In this work we aim to improve the robustness by proposing the optimum modification for the selected coefficients in order to retain the watermark information. A relationship is established between the watermark detection algorithm and the number of bit planes discarded and this knowledge is used during the embedding procedure. The proposed model assumes the same embedding and compression wavelet kernel. The experimental results verify the proposed model and demonstrate improved performance in robustness to quality scalable compression in JPEG2000.
用于高质量可伸缩图像压缩的盲水印鲁棒性分析
提出了一种基于盲小波的秩序水印方案对高质量可伸缩图像压缩的鲁棒性分析。分析考虑了一种通用的基于小波的压缩方案,通过建模位平面丢弃,用于实现JPEG2000的质量可扩展性。在这项工作中,我们的目标是通过提出对所选系数的最佳修改来提高鲁棒性,以保留水印信息。建立了水印检测算法与丢弃的位平面数之间的关系,并在嵌入过程中使用这一知识。该模型采用相同的嵌入和压缩小波核。实验结果验证了该模型的有效性,并证明了该模型在JPEG2000中对高质量可伸缩压缩的鲁棒性有所提高。
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