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Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking. (arXiv:2306.15896v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Image watermarking techniques have continuously evolved to address new
challenges and incorporate advanced features. The advent of data-driven
approaches has enabled the processing and analysis of large volumes of data,
extracting valuable insights and patterns. In this paper, we propose two
content-aware quantization index modulation (QIM) algorithms: Content-Aware QIM
(CA-QIM) and Content-Aware Minimum Distortion QIM (CAMD-QIM). These algorithms
aim to improve the embedding distortion of QIM-based watermarking schemes by
considering the statistics of the cover signal vectors and messages. CA-QIM …
address advanced algorithms analysis aware challenges data data-driven features insights large patterns statistics techniques watermarking