Robust image watermarking based on Tucker decomposition and Adaptive-Lattice Quantization Index Modulation

作者：

Highlights：

• Tucker Decomposition is applied to extract host vectors.

• The stability of Tucker Decomposition is discussed and proved.

• Adaptive-Lattice QIM is proposed to modulate local embedding strength.

• The performance of the proposed scheme for real images is analytically discussed.

• The proposed scheme provides high robustness without degrading image quality.

摘要

Highlights•Tucker Decomposition is applied to extract host vectors.•The stability of Tucker Decomposition is discussed and proved.•Adaptive-Lattice QIM is proposed to modulate local embedding strength.•The performance of the proposed scheme for real images is analytically discussed.•The proposed scheme provides high robustness without degrading image quality.

论文关键词：Image watermarking,Tensor,Tucker Decomposition,Adaptive-Lattice Quantization Index Modulation,Structural SIMilarity

论文评审过程：Available online 11 November 2015, Version of Record 10 December 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.10.007